About the team 

A reliable, privacy-safe, and scalable data foundation is critical to Roku’s rapidly growing advertising business. The Ad Data Activation organization builds the identity systems, device graph pipelines, audience platforms, insights tooling, and data collaboration capabilities that power targeting, measurement, and reporting across Roku Ads. 

We are hiring a Senior Machine Learning Engineer to help drive intelligence across these systems. You will work at the intersection of large-scale data platforms, applied machine learning, and generative AI — building capabilities that make Roku's advertising data more actionable for internal teams and advertisers. This includes building core generative AI platform features for Roku Advertising, while also applying traditional ML techniques to improve accuracy, automation, and decisioning across the ecosystem. If you enjoy working across data, ML, and new Gen-AI patterns — and want to shape how intelligence shows up inside Roku Ads — this role is for you. 

About the role 

In this role, you will design, build, and productionize intelligent capabilities that combine agentic Gen-AI systems with conventional ML pipelines across identity resolution, audience modeling, attribution, and optimization workflows. You will work with massive datasets, develop pipelines that transform raw signals into actionable features, and partner closely with product, data science, and platform teams. 

What you will be doing 

• Develop scalable and effective ML models and data pipelines to power identity, graph enrichment, audience segmentation, and campaign performance intelligence 

• Design and run experiments, measure impact, and translate results into product decisions and customer outcomes 

• Build and productionize agentic, generative-AI features — including reporting and insights agents, campaign-monitoring agents (with human-in-the-loop controls), and a semantic layer for reliable, natural-language analytics 

• Improve automation, reliability, and scalability across model training, feature engineering, deployment, and monitoring frameworks 

• Work closely with software and ML engineers to deliver end-to-end solutions from data ingestion through downstream systems 

• Partner with senior stakeholders to shape ML and Gen-AI strategy for Ad Data Activation — identifying the right problems for AI, ensuring safety, and driving advertiser productivity. 

We’re excited if you have 

• 5+ years of experience applying ML or data science to real business problems at scale 

• Master’s degree (or higher) and 4+ years of experience in CS, CE, ML, or a related field 

• Strong CS fundamentals and ability to design efficient algorithms and production systems 

• Experience with ML approaches used in large-scale data problems (e.g., regression, classification, tree-based methods, embeddings, sequence models, or basic NLP) 

• Strong intuition for defining KPIs, objective functions, and evaluation frameworks for ML-driven systems 

PREFERRED QUALIFICATIONS 

• Knowledge of programming languages such as Python, Scala/Java, C/C++, or similar 

• Experience working with large-scale data platforms (Spark, Presto/Trino, feature stores, data lakes, etc.) 

• Experience building or integrating with LLM/Gen-AI pipelines (prompting, evaluation, retrieval, safety) is a plus 

• Prior publications, patents, or open-source contributions are a plus 

About the team

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities. Roku offers millions of options to our users: movies, episodes, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineer, Content Platform who can drive further innovation.

About the role

Roku pioneered streaming to the TV and continues to innovate and lead the industry. While we are well-positioned to help shape the future of television – including TV advertising – around the world, continued success relies on its investment in our machine learning capabilities.

Roku offers millions of options to our users: movies, shows, news, sports, and channels from all around the world. The Roku Content Platform is key to onboarding content into the Roku ecosystem, delighting our customers. Building a content knowledge platform that provides insights to downstream systems like Search, Recommendations, Ads, and Voice to shape customers' experiences is why we’re actively looking for a Senior Machine Learning / AI Engineering Manager who can drive further innovation.

The person in this role will leverage their technical skills, business intuition, and analytical thinking to build best-in-class machine learning products. This includes integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. This is a role for a hardened ML practitioner and a highly skilled organizational leader. You will be the architectural and operational bridge between deep AI research and fast-paced product delivery. If you know how to build a 3-year vision for content discovery and translate it into 2-week shipping cycles, this is your team.

What you’ll be doing

• Vision & Strategy: Define the roadmap for ML within the Content Platform..
• Technical Leadership: Provide high-level guidance on model architecture and MLOps infrastructure to ensure models are scalable and production-ready.
• People Management: Lead and grow a high-performing team of ML Engineers. You will be responsible for career development, performance management, and maintaining a culture of rigorous experimentation.
• Cross-Functional Execution: Partner with Product, Engineering, and Content Strategy to align ML initiatives with business goals.
• Delivery: Champion a culture of incremental delivery. Balance long-term R&D with the need to deliver measurable improvements to the production environment.

We’re excited if you have

• 10+ years of total experience in software/ML engineering, with at least 5 years in a dedicated people management leadership role.
• MS or BS in Computer Science, Mathematics, or a related quantitative field.
• You possess a deep theoretical and practical understanding of Machine Learning. 
• You understand the business of streaming and how ML directly impacts the bottom line.
• You can explain complex model to a non-technical executive just as easily as you can debate architecture with a seasoned engineer.
• Proven track record of deploying large-scale ML models into production environments.
• Experience with modern ML stacks (e.g., LLMs, PyTorch, TensorFlow, Spark, and cloud-native MLOps tools).

About the team

At Roku, the Customer Care Engineering team is at the forefront of creating innovative solutions that redefine how we support millions of Roku users worldwide. We build and maintain a diverse ecosystem of cutting-edge tools and applications, including the Roku Support help center, advisor-facing tools for call centers, third-party partner integrations, internal web portals, and a robust suite of web services. From customer account management to big data pipelines, automated deployments, and build tools, our work touches nearly every aspect of the Roku experience.Our mission? To empower Roku customers and support teams with seamless automation, intuitive self-service tools, and powerful troubleshooting capabilities. We’re passionate about crafting secure, high-performance applications that not only solve problems but also deliver a delightful, branded user experience. If you’re excited about building scalable, impactful solutions that make a real difference, this is the team for you.

About the role 

Roku is seeking an experienced, versatile, and skilled Full Stack Engineer to join our dynamic Customer Care team. You will play a pivotal role in building and evolving a platform, leveraging web technologies and cutting-edge generative AI, to support world class customer care experiences including intelligent chatbots, agent dashboards, telephony integration, and self-service workflow automation. Your expertise will help shape intelligent, scalable solutions that enhance customer support experiences and multiple support call centers globally. 

What you'll be doing

• Design, develop, test, deploy, document, and maintain full stack web applications for a multi-region CRM platform
• Determine the strategic and tactical direction of the front-end architecture with cross-browser compatibility, accessibility and search engine optimization
• Build and optimize Retrieval-Augmented Generation (RAG) solutions to power chatbot interactions
• Advocate for operational excellence, driving best practices in monitoring, performance, and reliability.
• Participate in the agile development process, including scoping, technical design, effort estimation, coding, testing, debugging, code reviews, maintenance, and support
• Write clean, efficient, and maintainable code across frontend and backend services
• Monitor, debug, and resolve issues across the stack to maintain platform reliability.
• Stay updated on emerging technologies, bringing innovative ideas to enhance the platform.
• Collaborate with product managers, UX designers, data science and larger engineering team on business and architecture proposals to deliver seamless customer care experiences.

We're excited if you have

• 12+ yrs of relevant web development and production application support of highly trafficked consumer-facing web applications.
• In-depth experience with React and relevant toolset/framework ecosystem.
• Expert-level knowledge of JavaScript, Typescript – prototypical inheritance, scope and closures.
• Experience with js, React.js/Angular.js, Express, SASS/LESS, AWS, npm, Git and CI a necessity.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and microservices architectures
• Strong understanding of database systems (SQL and NoSQL). 
• Familiarity with DevOps practices and tools (CI/CD, Docker, Kubernetes).
• Ability to decompose complex problems into manageable units of work.
• Excellent problem-solving skills and ability to work in an agile environment.
• Effective communication and collaboration skills.
• Bachelors or Master’s degree in Computer Science, Engineering, or equivalent.
• Experience with customer service platforms or CRM systems is preferred
• Hands-on experience developing RAG solutions or working with LLMs for chatbots is preferred
• Knowledge of service mesh architectures is preferred
• Exposure to observability tools and practices (e.g., Prometheus, Grafana) are preferred.

#LI-SJ1

About the role  

Our Search Platform sits at the heart of the Roku experience, powering voice, text, and visual discovery across 100M+ active accounts and every Roku-powered device worldwide.
 We own the entire stack —from ingesting & enriching a multi-million-title knowledge graph, to low-latency retrieval services and large-scale machine-learning systems that personalize results in real time. Our work doesn’t just help users find shows; it drives core product surfaces (home-screen rows, browse hubs, Roku Voice, mobile app search) and fuels partner monetization. If you enjoy turning cutting-edge research into products used billions of times a day, you’ll thrive here.

Roku’s footprint has more than quadrupled in the past five years, and user expectations have leaped just as fast—think LLM-based query understanding, vector-DB retrieval, on-device models, and multimodal search (voice, text, image). We’re now rebuilding our relevance stack for the next decade, blending classic IR with generative-AI techniques. You will be a technical leader spearheading that transformation. 

What you'll be doing 

• Apply state of the art ML on search using techniques in deep learning, bandits, transformers, LLMs, causal inference, and optimizations to make our users more delighted and engaged on the platform 
• Run online AB tests and analyze them against the critical business KPIs 
• Collaborate with US engineering teams as well as cross-functional teams to translate business requirements into technical specifications 
• Nurture our ML ecosystem to make it withstand scale, developer velocity and future business shifts 
• Provide technical leadership to drive technical and ML roadmap for search ranking and monetization 
• Help recruiting new engineers. Interview, train, and mentor new team members 
  
  We're excited if you have 
  
  
• 7+ years of experience (or PhD with 5 years of experience) applying Machine Learning to concrete problems at large-scale in domains like recommendation or search or ads 
• Strong CS fundamentals. Should be able covert ideas to code with ease 
• Good understanding of machine learning fundamentals like classification, deep neural nets, and sequence-based models. Familiarity with modern NLP stack and multi-modal representation learning is a plus 
• We'd love to see that you've worked with big data systems (Spark, S3, and Airflow) and can program (Java, Scala, or Python)  
• Good understanding of system architecture 
• Experience in big data technologies and streaming architecture, data pipelines, etc. 
• MS in Computer Science, Statistics, or related field, but a Ph.D. in CS or related fields is preferred 
  
• AI literacy and curiosity.You have either tried Gen AI in your previous work or outside of work or are curious about Gen AI and have explored it. 

#LI-AK1

About the team 

The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time.

About the role 

In this role you will work on building out a SOTA machine learning platform and apply various methodologies to solve a large variety of challenging problems in Advertising related to conversion modeling aligned with attribution methodologies/models, calibration, dynamic creative generation and optimization, forecasting and timeseries modeling, yield and margin optimization and Experimentation for A/B and multivariate testing. 

We’re looking for strong engineers well versed with modern large scale machine learning platforms with a solid grasp of core statistical techniques and deep experience in SOTA Deep Learning discriminative and generative models.  

What you’ll be doing  

• Building and evolving a SOTA Machine Learning Platform from feature generation to realtime inferencing that can optimize and deploy complex models at large scale and low latencies. 

• Building SOTA Deep learning discriminative models and build generative models to generate image and video ads geared towards optimizing performance. 

• Stay at the forefront of advancements in related areas. 

We’re excited if you have 
 

• BS or higher in CS, ECE or a related field. 

• 5+ years of experience in building out Machine Learning platforms or applying Deep Learning  methodologies. 

• Excellent communication and collaboration skills. 

Preferred Qualifications: 

• MS or higher CS, ECE or a related field. 

• Experience in the Advertising domain. 

• Contributions to open-source ML projects. 

About the team

A highly scalable, highly available, real-time advertising platform is critical to support and grow Roku's rapidly expanding ad business. It is the mission of the Ad Engineering Team to build this platform. We are hiring a Senior Machine Learning Engineer, Advertising Platform, to be a vital part of this mission. If you bring extensive experience building complex systems using Machine Learning and Data Science, love great technology at scale, enjoy mentoring, jumping in, and figuring things out in any system, this role is for you!

The Ad Serving team, based in Bangalore, is responsible for ensuring that ads on the Roku platform are relevant and of good quality, leading to better outcomes for advertisers and providing a great experience for our viewers. Dealing with millions of ad requests in a day, we need to have best in class ML driven systems to improve the way we serve ads in multiple countries and languages.  

About the role

In this role, you will build and develop ML models to solve for content understanding aspects of Ads. These models rely on the visual, audio and textual content of ads, across multiple languages. This includes developing computer vision and machine learning models/methods such as deep learning models, generative AI solutions, large language models (LLMs) and vision language models (VLMs). You will work with software engineers and other ML engineers to identify, build, train and productionize these models to improve brand safety, increase revenue opportunities and help with moderation and generation of ad creatives in general.

What you will be doing

• Develop scalable and effective machine-learning models and optimization strategies to solve business problems related to Ads
• Run regular A/B experiments, gather data, and perform statistical analysis
• Work closely with software engineers and other ML engineers to deliver end-to-end solutions into production
• Improve the scalability, efficiency and automation of ML driven ad serving systems, model training, deployment and serving
• Partner with senior stakeholders to plan and drive the ML strategy for Ad Serving

We're excited if you have

• 6+ years of building models for business application experience
• Master's degree ( or higher) and 4+ years of CS, CE, ML or related field experience
• Strong CS fundamentals. Should be able to write an algorithm with ease.
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
• Good understanding of data science and machine learning fundamentals like regression, classification, tree-based approach, neural networks, sequence-based, and NLP approaches like W2V or Bert
• Can brainstorm and identify the right KPIs and objective functions. 
• Knowledge of programming languages such as C/C++, Python, Java or Perl (preferred)
•  Have publications at top-tier peer-reviewed conferences or journals (preferred)
• AI growth mindset / AI Literacy

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Support Experience engineering organization builds and improves Stripe’s user support from end to end: how users get help within our products, how they get in touch with us when they have questions, and how our teams use internal tools to answer those questions. We’re accountable for the quality and reliability of this support stack and we use data and firsthand experience to continuously improve it. 

Providing great support to users of all sizes is culturally important to everyone at Stripe. We partner closely with Stripe’s design, product, and operational teams across a wide surface area: the external-facing support interfaces (https://support.stripe.com/), self-serve content, entry points, internal tooling, case routing, and helping product teams across the company reduce support volume by improving our products. We are also using the latest generative AI technologies to re-imagine support experiences, and are developing AI assistants for Stripe’s users and to help our operations teams be more productive.

What you’ll do

You’ll lead and grow an established, high-performing engineering team within the Support Experience organization. Your job is to start with what’s been built and make it better: grow the team, elevate the technical bar, and expand the team’s impact across Stripe.

In this role, your team will build support experiences for priority user segments, solving problems such as how platforms, enterprises, and consumer users get help from Stripe. This includes implementing new API endpoints for use across multiple products, data engineering to improve our support operations with real-time insights, or building AI-enabled product experiences designed for each segment’s unique needs. You’ll lead your team to use the best tools for each job, whether that means experimental machine learning applications or proven techniques for building scalable distributed systems.

Responsibilities

• Hire, lead, and manage a team of talented engineers, providing mentorship, guidance, and support to ensure their success.
• Collaborate with cross-functional stakeholders, including product managers and designers, to understand customer needs and translate them into technical solutions.
• Define the technical vision and roadmap for the suite of products managed by the team, aligning it with business objectives and industry best practices.
• Drive the execution of projects, overseeing the entire development lifecycle from planning to delivery, while maintaining high standards of quality and timely completion.
• Foster a collaborative and inclusive work environment, promoting innovation, knowledge sharing, and continuous improvement within the team.
• Stay up-to-date with emerging technologies, industry trends, and advancements in AI and customer experience practices to identify opportunities for improvement and innovation.
• Communicate effectively with stakeholders, providing regular updates on project status, progress, and any potential risks or challenges.

Who you are

We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement.

Minimum requirements

• 3+ years of experience managing teams that build and operate full-stack web applications at scale, and 10+ years of overall industry experience
• A passion for supporting both external users and internal customers
• Successfully recruited and built great teams
• The ability to thrive with a high level of autonomy and responsibility
• The desire to encourage a healthy, inclusive work environment that’s both supportive and challenging
• Clear and persuasive writing and in-person communication

Preferred qualifications

• You have experience designing, deploying, and owning Agentic LLM solutions (e.g., multi-step orchestrators, tool use/function calling) specifically for complex customer support or internal workflow automation.
• You are comfortable planning in quarters, and can set a vision for several years
• You are excited about collaborating with teammates across Stripe’s organization to provide a wonderful support experience to users
• You are comfortable working with geographically distributed teams
• Experience managing multiple engineering teams

As a Senior AI/ML Engineer in our AdTech team, you will be a hands-on individual contributor building and deploying machine learning models and AI-driven features for our advertising platform. You will partner with engineering, product, and data science to deliver production-grade ML for campaign optimization, user personalization, and creative intelligence—operating at large scale and low latency across billions of ad events per day. You will contribute to modern ML/LLM capabilities and agentic workflows that automate and enhance campaign operations, with a strong focus on reliability, performance, and measurable business impact.

Key Responsibilities

• Machine Learning Delivery: Design, implement, and ship scalable ML solutions for core AdTech use cases (targeting, ranking, pacing, measurement). Own features end-to-end from experimentation to production rollout.
• ML System Design: Build and evolve the ML lifecycle—data preparation, training, evaluation, and real-time inference—ensuring models integrate cleanly with ad serving systems and meet low-latency, high-throughput requirements.
• Technical Contribution: Contribute to the AI/ML technical roadmap by evaluating tools and techniques (including deep learning, LLMs, and retrieval/feature systems). Make pragmatic trade-offs with an eye toward maintainability and operational excellence.
• AI & Agentic Applications: Develop and integrate LLM-powered features and agentic workflows that assist with campaign workflows such as audience insights, bid/budget recommendations, and creative generation—within well-defined guardrails.
• Cross-Functional Collaboration: Work closely with engineering, product, and data science partners to translate marketing objectives into ML-driven solutions, define success metrics, and deliver iterative improvements.
• Performance & Reliability: Operate ML services in a high-concurrency, latency-sensitive environment. Optimize inference paths, implement monitoring/alerting, manage model drift, and ensure safe deployment practices (A/B testing, canaries, rollbacks).
• Mentorship & Best Practices: Mentor and support other engineers through code/model reviews and knowledge sharing. Champion engineering rigor in testing, observability, documentation, and reproducible ML workflows.

Required Qualifications

• 5+ years of experience in software engineering and/or applied machine learning, with a track record of shipping ML systems to production.
• Experience designing and building high-throughput, low-latency services or data pipelines for large-scale applications.
• Working knowledge of the programmatic advertising ecosystem (DSP/SSP/RTB) is a plus; strong adjacent experience (recommendation, ranking, marketplaces) is also valued.
• Proficiency in at least one of Java, Go, or Python for backend services and ML tooling.
• Hands-on experience with ML frameworks (PyTorch or TensorFlow) and common modeling approaches (classification, ranking, embeddings, deep learning).
• Experience with big data and streaming frameworks (e.g., Spark, Kafka) for processing and analyzing large datasets.
• Experience deploying ML to cloud environments (preferably AWS) and operating services at scale.
• Familiarity with data stores (SQL/NoSQL) such as PostgreSQL/MySQL, Cassandra/DynamoDB, Redis, etc.
• Familiarity with containerization/orchestration (Docker, Kubernetes) and CI/CD practices.
• Strong communication skills and ability to collaborate across disciplines; comfort explaining technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications

• Experience with Large Language Models (LLMs) and generative AI applied to advertising (e.g., ad copy generation, creative optimization, or personalized messaging).
• Experience designing and implementing agentic workflows that support autonomous or semi-autonomous decision-making with strong safety/observability guardrails.
• Experience with model serving and optimization for real-time inference (latency-critical environments).
• Familiarity with modern data lake and table formats (e.g., Apache Iceberg, Apache Hudi) for managing large-scale analytical datasets.
• Knowledge of microservices architecture and event-driven design patterns in distributed systems.
• Contributions to open-source projects, publications, or speaking engagements that demonstrate thought leadership in AI/ML are a plus.

WHO WE ARE 

Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com. 

PEOPLE & CULTURE AT ZETA

Zeta considers applicants for employment without regard to, and does not discriminate on the basis of an individual’s sex, race, color, religion, age, disability, status as a veteran, or national or ethnic origin; nor does Zeta discriminate on the basis of sexual orientation, gender identity or expression.  

We’re committed to building a workplace culture of trust and belonging, so everyone feels invited to bring their whole selves to work. We provide a forum for employees to celebrate, support and advocate for one another. Learn more about our commitment to diversity, equity and inclusion here:  https://zetaglobal.com/blog/a-look-into-zetas-ergs/ 

ZETA IN THE NEWS!

https://zetaglobal.com/press/?cat=press-releases 

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

#P16568_3435773
#LI_Hybrid

As an ideal candidate, you will have

• Ideally 8 - 11 years of related experience in a customer facing role, minimum 3 years of experience in pre-sales with enterprise software
• Minimum of 3 years experience with modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) in a professional capacity
• Experience designing with scalable and highly available distributed systems in the cloud and on-prem
• Demonstrated ability to work with customers to review complex architecture of existing applications, providing guidance on how to improve by leveraging technology
• Excellent presentation, communication, and interpersonal skills, with the ability to convey complex technical and business concepts in a clear and compelling manner to technology and business leadership
• Ability to strategize with sales teams and provide recommendations on how to drive a multi-threaded account strategy, aligning other MongoDB and ecosystem resources to move towards a mutually beneficial account plan
• The ability to travel up to 25%
• A Bachelor’s degree or equivalent work experience

You may also have

• Experience selling databases and/or deploying applications with any of the major cloud providers
• Experience with database programming and data models
• Experience in data engineering or AI/ML projects
• Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks
• Understanding of popular sales methodologies/ frameworks such as MEDDPICC/ Command of the Message
• A MongoDB Certification
• A Cloud Provider Certification

What you do at MongoDB

• Design and Architect: Design scalable and performant applications, systems and infrastructure for large software projects leveraging MongoDB
• Customer Advising and Value Articulation: Guide customers on architecture patterns and optimisation strategies for MongoDB, while clearly communicating its business value to the relevant stakeholders
• Sales Partnership: Collaborate with the sales team to drive account success through account planning, opportunity prioritization/qualification and pipeline generation strategy, while taking ownership of the technical aspects (including but not limited to technical discovery, demos, proof of value, presentations, sizing and documentation)
• Demand Generation: Proactively generate demand within the sales territory through self-driven technical initiatives, participation in events such as industry trade shows and account-based marketing events
• Customer Success: Foster strong customer relationships, build champions and ensure customer success and satisfaction
• Innovation and Improvement: Continuously seek opportunities to innovate and improve MongoDB solutions and processes (e.g. by relaying field feedback to the product team), as well as proactively mentor other Solutions Consulting team members
• Personal Training and Development: Engage in ongoing training and professional development to stay abreast of MongoDB product suite as well as industry trends

What you will learn

MongoDB Product Suite Mastery

• Core Database Server: Master the fundamentals and advanced features of MongoDB's core database
• Atlas and Advanced Services: Gain expertise in Atlas (fully managed cloud database service), Atlas Stream Processing, Atlas Data Lake, Atlas Full-Text Search, Atlas Vector Search, and Charts
• Relational Migrator: Learn to migrate from relational databases seamlessly

• Hyperscaler Ecosystem: Gain expertise in designing complex systems utilizing cloud services on hyperscaler platforms
• Complementary Technologies: Enhance your skills with partner and complementary technologies such as Apache Kafka and Kubernetes

• Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security
• Cutting Edge RAG and AI Architectures: Help customers on their generative AI journeys and working with industry leading partners in the space

• Effective Communication: Master presentations, demonstrations, and whiteboarding
• Client Interaction: Develop strategies for discovery and objection handling

• Diverse Market Verticals: Gain exposure to a broad spectrum of interesting use cases across various industries

About MongoDB

MongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software.

Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. 

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!

MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

MongoDB is an equal opportunities employer.

Req ID - 1273351772

About the role

The developer's job is shifting from writing code to directing AI agents, and hiring needs to catch up. HackerRank has shaped how 3000+ companies identify engineering talent, with 30M+ developers assessed on our platform. Chakra is our bet on what the next generation of that looks like: an AI interviewer built for a world where the interview itself has to be as intelligent as the candidates it is evaluating.

Open Problem
An interview that thinks, listens and gets it right every time.

Running an interview is easy. Running a good one is hard.

Chakra is an AI interviewer. It holds a conversation with a candidate, asks follow-up questions, evaluates how they think, and produces a report a hiring manager can actually act on. It is to conduct interviews that are more consistent, more probing, and more fair than most human interviewers manage in practice.

Here is the problem. A great human interviewer can do this. They read the candidate. They push on the right things. They know when an answer is shallow and when it just sounds shallow. Getting a model to do that reliably is genuinely difficult. Not because the technology cannot hold a conversation. It can. The gap is in judgment. Knowing what to probe. Knowing what the answer actually reveals about the candidate. Knowing when to move on.

Now do that 200,000 times. With candidates who speak differently, think differently, and approach problems differently. Without the model drifting. Without it being gamed. Without every report reading like it was written by the same template.

That is where the field currently falls short. Closing that gap is the work.

What you'll do

• Architect and develop Chakra end to end: the agent design, conversation management, real-time response evaluation, scoring methodology, and report generation.
• Build the systems that ensure interview consistency at scale. Not just model capability, but the infrastructure that makes the 200,000th interview as coherent as the first.
• Design evaluation and benchmarking pipelines that measure interview quality, candidate experience consistency, and report defensibility.
• Build fine-tuning and RLHF workflows to push model judgment past what off-the-shelf models deliver for this specific task.
• Own the quality bar. Define what a good interview looks like, instrument how well the system meets that bar, and close the gap systematically.
• Work across the full stack: data pipelines, model serving, latency constraints, and the product experience the candidate actually encounters.

Who you are

• You have built and shipped agentic or conversational AI systems in production, not just prototypes.
• You have a strong intuition for where LLM behavior breaks down under real-world conditions and how to address it systematically.
• You think in systems. The conversation architecture, the evaluation model, the serving infrastructure, and the candidate experience are one problem to you.
• You care about the quality bar at the level of a user who depends on the output, not just a researcher measuring aggregate metrics.

Even better if you have

• Experience building multi-turn conversational agents or interview-style AI systems.
• Worked with RLHF, Constitutional AI, or preference-based fine-tuning methods.
• Background in dialogue systems, conversational evaluation, or rubric-based scoring.
• Publications or contributions in agentic AI, LLM reliability, or evaluation of generative systems.

You will thrive in this role if

• You are energized by the full scope of a hard product problem, from model architecture through the conversation a candidate actually has. 
• You hold the product bar as high as the technical bar. You want to build something that works extraordinarily well for every single person who uses it.

About the role

How developers were evaluated previously was whether they can write functionally correct code. How developers are being evaluated now is whether they can orchestrate AI to accomplish the task while still having the fundamentals underneath. That shift, between what used to matter and what matters now, is exactly the problem this role is hired to solve.

Open Problem
How do you measure skill when AI is already in the room?

Software engineering has moved from writing code to using AI to solve problems. That shift sounds simple. The implications for assessment are not. This is not just a take-home assignment problem. It spans live interviews, async assessments, AI-assisted coding environments, pair programming with agents, and every other context in which someone is trying to figure out how good a developer actually is. The tools developers use are changing fast. The frameworks we use to evaluate them have not kept up.

For over a decade, skills-based hiring relied on deterministic evaluation: a candidate's code either passed test cases or it did not. The score was binary and reproducible. What replaces it is genuinely unsolved. Nobody has cracked how to fairly assess human skill in a world where AI assistance is ambient and invisible, where the question is no longer "can you write this function" but "how effectively do you use AI to solve a real problem."

We are moving from a deterministic evaluation to evaluation by a council of LLMs. But making that consistent, scalable, and defensible across hundreds of thousands of assessments is a hard research and engineering problem. How do you ensure the same rubric is applied the same way to the 200,000th candidate as to the first? How do you detect when your evaluation model is drifting? How do you explain a score to a candidate who believes they were assessed unfairly?

HackerRank sits at the center of this problem with a rare combination of scale, longitudinal data, and direct relationships with the companies making hiring decisions. The opportunity here is to define what rigorous, fair, and meaningful skill evaluation looks like in the agentic era. That methodology does not exist yet. This role exists to build it.

What you will do

• Build LLM-powered evaluation pipelines that assess AI usage skills consistently, fairly, and at production scale.
• Own the evaluation methodology end to end- what the rubric is, how the model applies it, how you measure whether it is being applied correctly, and how you audit for bias.
• Design and run experiments to determine what good evaluation actually looks like. The answer is not known. You will be finding it.
• Build RAG pipelines and fine-tuning workflows that make evaluation models adhere reliably to the rules we set for them.
• Define the benchmarking infrastructure: how we know when our evaluation quality has improved, and how we catch regressions before candidates do.
• Translate model behavior into outcomes that product managers, enterprise customers, and candidates can understand and trust.

Who you are

• You have shipped LLM-powered systems in production where consistency and reliability were hard constraints, not nice-to-haves.
• You think as rigorously about how you measure your model as about the model itself. A poorly constructed eval is a worse outcome than a weaker model.
• You have a research mindset. You are comfortable operating in a space where the right methodology does not exist yet and needs to be invented.
• You think in systems. The data pipeline, the model, the serving layer, and the rubric it enforces are one problem to you.
• You can defend ML judgment in plain language to people who are not ML engineers, because the translation layer is part of the job.

Even better if you have

• Experience building evaluation frameworks for generative or conversational AI systems.
• Background in educational assessment, psychometrics, or human-in-the-loop evaluation at scale.
• Publications or open-source contributions in LLM evaluation, benchmarking, or alignment.
• Prior work at the interface of research and product, where you had to ship science, not just publish it.

You will thrive here if

• You find the measurement problem as interesting as the model problem, maybe more interesting. 
• You hold evaluation methodology to the same standard as model performance, and you are uncomfortable shipping something you cannot explain. 
• You want your work to define what good looks like in a field that is just now figuring that out.

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

What will you do everyday?

We are looking for a Software Developer to join our Backend Engineering team. Specifically, you will be:

• Collaborating with the product, design and operations teams to build a world class product
• Developing, owning and maintaining highly scalable distributed services and solutions
• Implementing a microservices based architecture using Golang and Python
• Ensure application performance, uptime, and maintaining high standards of code quality
• Maintaining continuous integration and deployment tools; creating unit and integration tests for written software code

 Ok, you're sold, but what are we looking for in the perfect candidate?

• Expertise: You know how to code.  You understand our tech stack and can be productive with it. In other words, you’ve done this before.
• Action oriented: You love to build.  You like to ship fast and quickly iterate.
• Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
• Problem solving: you use data to help point you in the correct direction.  You optimize relentlessly.  You think business and engineering problems are like puzzles and you stick with them until they are solved.
• Humility: You’re humble and love working in a team without ego to deliver products
• Adaptability:  You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
• Confidence: You trust your abilities and you’re ready to push yourself to the next level.

Qualifications*

• Strong product development experience in building distributed systems and microservices.
• 2 to 5 years experience 
• Strong programming skills on Linux using Go
• Strong foundation in data structures, algorithms and a strong understanding of concurrent programming
• Superior organization, written/verbal communication, interpersonal and leadership skills 
• Ability to collaborate effectively with cross functional teams to solve complex problems and building products spanning across geographically distributed teams to deliver end-to-end products & features
• Ability to multi-task and re-prioritize responsibilities based on changing requirements
• Bachelors/Masters degree in computer science or related field

It will be a huge plus if you have:

• Experience working with gRPC, gRPC context and Protocol Buffers
• Experience with infrastructure and systems engineering, and scaling services on cloud computing platforms like GCP

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

What we want to accomplish and why we need you

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

Our tech stack includes GCP, Kubernetes, Golang, Python, React, C++, TypeScript, JavaScript, Swift, Kotlin, gRPC, and GraphQL.

What will you do everyday?

You’ll create engaging product experiences on iOS/Android and services that delight and empower doctors with experiences that they could never imagine with their health IT systems.  You have an equal grasp of iOS and Android native development expertise in Swift/Objective-C/Kotlin/Java. You will work with the product, design and operations team to build the best product and support it. You will be DevOps friendly and you will write, test and deploy your own code.  While you know how to work hard, you also know how to have fun at work, make friends with your colleagues and contribute to our diverse and inclusive culture.  You will also contribute to making doctors’ lives better by reducing the administrative burden they face every day. You will be hungry to contribute and make a difference in the product quality.

Ok, you're sold, but what are we looking for in the perfect candidate?

• Expertise: you know how to code.  You understand our tech stack and can be productive with it. In other words, you’ve done this before.
• Action oriented: You love to build.  You know that perfect is the enemy of the good – you like to ship fast and quickly iterate.
• Creativity: You enjoy listening to user feedback and then building product in novel ways. You’re resourceful and enjoy finding alternate paths to success.
• Problem solving: you use data to help point you in the correct direction.  You optimize relentlessly.  You think business and engineering problems are like puzzles and you stick with them until they are solved.
• Humility: You’re humble and love working in a team without ego to deliver products
• Adaptability:  You thrive in a fast-moving organization that uses light-weight process and cutting-edge technology to have a huge impact.
• Confidence: You trust your abilities and you’re ready to push yourself to the next level.

Qualifications*

• 5 to 8 years of work experience
• Proficiency using Android SDK 
• Kotlin experience is a must. Swift is a plus.
• Experience with Android frameworks such as Jetpack compose
• Must have experience with testing tools like JUnit etc.
• Familiarity with RESTful APIs and third-party libraries (e.g., Retrofit, OkHttp, etc.).
• Experience building and shipping apps to Google Play store
• Must have at least 1+ apps on listed in Play store
• Experience in working with large scale distributed applications
• DevOps experience is a plus as well
• Any formal degree is preferred, but not necessary
• Strong grasp of CS fundamentals including algorithms, data structures and design is preferred
• Bachelors/Masters degree from a Tier 1 college or university

* We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding some new things to your resume.

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

What we want to accomplish and why we need you.

Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us! 

We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things.

What will you do every day?

We are looking for a Software Architect  to join our Engineering team. Suki's architecture practice is at an inflection point. We have sustained significant CCU growth, completed a demanding OLTP Database scaling journey, leveraged Redis Streams based service orchestration, deployed self-hosted ML models, built agent-driven workflows, launched an Offline Data Platform, and maintained a client surface spanning iOS, Android, Web, SDKs, and a Chrome extension — with on-device ML capabilities across all of them.

The Architect is the person who holds institutional memory and architectural coherence across this surface area — so that decisions made in isolation don't quietly contradict each other, patterns are reused rather than reinvented, and deviations from established patterns are documented, not silently absorbed. The work ahead includes enhanced agentic capabilities, continued multi-region expansion, investments on stream-based/offline data processing, and a growing ML inference footprint.

On a day to day basis, you will: 

• Maintain architectural coherence across a complex and wide surface area. 
• Own the load-bearing substrate through future growth and failure scenarios. The system must survive several multiples of current enterprise scale and every class of infrastructure event we can name.
• Drive the structural decomposition of platform and domain boundaries, service boundaries across the microservice portfolio, agentic framework direction, auth and access-control architecture, and cross-cutting concerns like observability and rate limiting.
• Bridge AI research and production infrastructure. Translate LLM and model requirements into efficient, production-grade services. Lead the agentic framework direction — memory architectures, tool orchestration, A2A patterns, semantic caching. Operate a GPU fleet at high duty cycle and understand dynamic batching, cross-session batching tradeoffs, and HPA calibration for GPU workloads.
• Document architectural patterns and deviations. Write Architectural Design Records, RFCs, and breaking-points documents that stand alone for readers unfamiliar with the context. Document deviations from established patterns with their reasons — not as failures, but as data points. 
• Remain hands-on — stay connected to the craft, read and write code. Prototype new architectures. Review pull requests for patterns that matter. Implement the hard parts of a new pattern yourself when it matters. Lead resolution of the most critical incidents. 
• Mentor and elevate the engineering organization. Act as a technical multiplier for senior engineers across backend, data, and ML disciplines. Hold a room, defend a position under pushback without collapsing into agreement, and adjust register for engineering vs. product vs. leadership audiences. Foster a culture of deep technical understanding, not just pattern-matching.
• Represent Suki’s architecture and engineering both in internal and external forums through technical blogs, conferences and meetups

QUALIFICATIONS 

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent production experience 
• 10+ years of professional software engineering experience, with a proven track record operating at an Architect, Staff, or Principal level 
• Expert-level proficiency in Go or Python, with the ability to lead architectural decisions and remain hands-on in code 
• Production ownership of a real-time streaming system (Redis Streams, Kafka, Pulsar, or equivalent) at scale — including personal pager experience and a specific debugging story for a duplicate-processing or lost-message bug 
• Experience operating multi-TB storage systems with active OLTP traffic 
• Hands-on experience with offline/batch architectures: Airflow or equivalent orchestration, columnar formats (Iceberg, Delta, or Hudi), and warehouse-scale query engines (BigQuery, Snowflake, or Redshift) 
• Experience designing and operating GPU inference infrastructure at scale, including dynamic batching, Triton/TensorRT, and HPA calibration for GPU workloads — or equivalent ML inference platform depth 
• Experience integrating and scaling systems using LLM APIs or foundation models, with opinions about agent framework design, memory architectures, and tool orchestration 
• Demonstrated experience navigating product-vs-platform decomposition in a real organization — including having been wrong, and articulating what the reversing signal was
• Proven ability to reason about client-side implications of backend decisions across native mobile, web, SDK, and browser extension surfaces 
• Familiarity with healthcare-adjacent regulation (HIPAA, PIPEDA, PHIPA, SOC2, or HITRUST) as a design constraint, not just a compliance requirement, will be a strong plus 
• Strong experience with GCP, Kubernetes, Docker, gRPC, and Protocol Buffers; multi-region architecture and data residency design will be a strong plus 

What We're Looking For

• Distinguished Technical Expertise: You are a recognized expert with a proven history of architecting, building, and operating complex systems with a strong software engineering talent.
• Strategic, Systems-Level Thinker: You look beyond immediate requirements to anticipate future challenges. You can navigate deep ambiguity, identify long-term risks, and make high-judgment decisions that balance technical purity with business velocity.
• Pragmatic and Action-Oriented: You have a bias for action and a data-driven approach to problem-solving. You understand the entire lifecycle of an ML-powered feature, from data to deployment, and know how to ship robust solutions quickly.
• Leadership Through Influence: You have a demonstrated ability to lead complex, cross-functional technical initiatives without direct authority. You build 

Tell me more about Suki

• On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI .
• Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems.
• Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale.
• Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it.
• Great customers: Our solutions are used in health systems and clinics across the country, supporting clinicians across dozens of specialties.  Check out what one of our users says about how Suki has helped his practice.
• Impact: You’ll make an impact from day one. You’ll join a team working towards a shared purpose with a culture built upon deep empathy for doctors and passion for making their lives better. 

Suki is an Equal Opportunity Employer. We are dedicated to building a company that fosters inclusion and belonging and reflects the diverse communities we serve across the country. We know we are stronger this way, and we look forward to growing our team with these shared values.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

The Overview 

At Okta, we're building a world where anyone can safely use any technology, and, within Okta Platform R&D, we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users, but to ask, “what more can we make possible?”

As a Principal Product Designer for Okta, you’ll work with a globally distributed design team to build the forward-looking vision for Okta’s entire suite of services. You will shape a culture that deeply appreciates our customers and how to best serve them. Your work will go deep at times, but you’ll also be constantly seeking opportunities to connect journeys, experiences and teams horizontally across the Okta Platform suite. You notice the details and deeply understand how the product works. Ensuring that using our products together creates an experience that is “greater than the sum of its parts” will be critical to Okta’s success in the coming years.

The Finer Print 

This role will be focused on the UX strategy for several products and pillars within the Okta Platform. Designers will be embedded within product pillars and working alongside engineering and product teams. You’ll bring this strategy to life through explorations, prototypes, and other design artifacts that foster clarity across groups and teams. In addition, you’ll be an effective collaborator and communicator – elevating the voice of design across functions and pillars. Finally, you’ll play a key part in elevating the design practice at Okta, both in terms of craft and team culture.

In this role, you have the opportunity to:

• Lead a holistic, human-centered approach to design, especially when designing for AI-powered features and intelligent systems.
• Guide and oversee the UX strategy alongside cross-functional partners, collaborating to take products from concept to launch and define the long-term strategy for your product area.
• Design and facilitate co-creation workshops with Product Management, Engineering, and Design to define opportunities within our products to solve valuable customer problems.
• Explore and design AI-powered solutions to simplify complex user workflows, enhance security through intelligent detection, and provide personalized user assistance.
• Leverage generative AI and other AI-powered tools to accelerate the design process, from ideation and content generation to prototyping and user flow analysis.
• Craft user-centered artifacts and end-to-end journeys to align teams contributing to Okta’s Platform R&D around the broader user experience.
• Collaborate with other Okta designers to ensure consistency across interface experiences ensuring trust and transparency in all AI-driven interactions.
• Inspire teams to think bigger and act smaller, instilling an iterative process and fail-forward mentality to design simple and delightful user interfaces for new and existing Okta products.
• Advocate, mentor, and educate on the benefits of design thinking to product teams and new designers alike; partnering with UX team members to uphold our principles and standards.
• Mentor fellow designers and contribute toward team-level and design practice and process improvements, including the ethical application of AI in design.
• Work with Design Leadership to define and drive the frameworks, contracts, and standards for others to be able to then build on top of and add value to, ensuring the quality of UX delivery.
• Find creative ways to continuously learn from customers and users; collaborating with user researchers to research and synthesize user needs to help conceive, define, test, and evolve solutions for our users across a range of mediums and experiences; Advocate for users and deliver user and customer outcomes in a dynamic work environment.
• Help product designers become data aware to illustrate a clear understanding of how their designs impact customers,  including the ones around adoption and effectiveness of AI-driven features.
• Present work, concepts, and new ideas to cross-functional team members, adjacent teams, and senior leadership; working to distill complex technical problems into clear, conceptual models and simple, elegant solutions.
• Keep abreast of competitor products and industry trends; with a keen eye on advancements in AI trends and their application to identity and security domain.

Who We Are Looking For

• You have experience leading cross-discipline teams and exemplify leadership.
• You are passionate about solving complex problems, crafting and sharing product and design UX principles to help teams deliver cohesive user experiences.
• You are a thought leader, undertaking explorations into new technologies and territories, including AI, machine learning, and their applications in identity and security.
• You bring an AI first mindset, demonstrated by practical experience using various AI tools in your daily design workflow to enhance creativity and efficiency. You constantly seek opportunities to apply intelligent automation and data-driven insights while championing design for trust, explainability, and ethical considerations.
• You are great at collaborating, sharing work early and often, and seeking constructive feedback from peers and stakeholders.
• You have the heart of a teacher and can help mentor and train people. You build and share empathy with people to deeply understand them and their needs.
• You see design as a partner in shaping strategic and operational product and UX outcomes; comfortable owning all stages of design for multiple teams within a given product area.
• You bring a systems-thinking lens to the conversation.
• You are passionate about supporting teams with a wide variety of experience, backgrounds, and interests.
• Your portfolio will show that you've worked on complex and/or technical projects across all aspects of the design process (conceptual design, interaction design, information architecture, and visual design).
• You are adept at working in a diverse, globally distributed team and have experience with remote collaboration tools.

Qualifications:

• 12+ years of product design experience on complex B2B enterprise products, with demonstrated ownership of the end-to-end design process—from discovery to delivery—across multiple product areas.
• Demonstrated proficiency in leveraging AI-powered design tools and plugins within your workflow (e.g., for generating design assets, data, or exploring layout variations).
• Possesses at least a basic understanding of HTML/CSS/JavaScript.
• Proven experience integrating AI tools into your day-to-day design activities to solve practical design challenges.
• Can provide a digital portfolio that showcases solid skills across a variety of projects, including work that has been seen and used successfully in actual products. (Portfolio link required when applying.)

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The Overview 

At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users but to ask, “what more can we make possible?” 

Our User Research team is a critical partner in this mission, responsible for driving research that uncovers deep insights and shapes our product and company strategy. As a Staff User Researcher, you will work with a globally distributed team to apply your craft and expertise across a range of products and services. You will tackle complex research questions, delivering insights that ensure we are solving the right problems for our customers.

The Finer Print 

As a Staff UX Researcher in India, you will lead and establish user research efforts locally, embedding UXR practices within our growing India-based cross-functional teams and taking ownership of high-impact research initiatives for a key Okta product area. This is a unique opportunity to promote and cultivate a user-centered culture, guiding local product, design, and engineering partners who are new to direct collaboration with UX research. You will work closely with these local teams daily, while also collaborating effectively with your global UXR colleagues and stakeholders. Your research will directly inform critical decisions, contributing to both the product's long-term vision and near-term development. You will be instrumental in establishing research operations in India, ensuring that foundational and evaluative insights are effectively leveraged to drive exceptional user experiences.

In this role, you have the opportunity to:

• Champion user-centered best practices and build strong, trusted relationships with product, design, and engineering leaders within our growing Bangalore office
• Drive collaborative research initiatives with cross-functional teams and guide them in leveraging insights to inform decisions and foster a culture of curiosity
• Communicate complex insights clearly and persuasively to diverse audiences across all levels and time zones, ensuring seamless alignment within our global team
• Utilize LLMs (e.g., ChatGPT, Claude) to accelerate end-to-end research workflows, from literature reviews and transcript analysis to report drafting.
• Synthesize insights at scale by leveraging AI-augmented repositories and tools across multiple concurrent projects, without sacrificing research rigor.
• Establish and refine UX research processes, operational frameworks, and supporting tools tailored to the needs of the Bangalore office, aligning with our global UX Research standards
• Build and manage key research operations, including leading APAC participant recruitment efforts and collaborating with our global UX Research Operations team to optimize our Dovetail research repository for local stakeholders

• Lead end-to-end research initiatives, expertly applying a flexible range of methodologies (generative and evaluative) to illuminate customer needs and deliver high-impact insights that drive product growth
• Share your expertise and insights with the global UX Research team, and play a pivotal role in building UX Research capacity within the Bangalore office as the team grows
• Access global learning resources and collaborate with experienced researchers worldwide to continuously enhance your skills

Who We Are Looking For

• Demonstrated ability to effectively introduce and integrate UX Research into teams with limited prior exposure, clearly articulating its value and driving buy-in
• Experience thriving in a remote, globally distributed team environment, with a proven ability to manage asynchronous communication, maintain alignment across different time zones, and build strong rapport and influence with remote stakeholders across cultures
• You possess a proven ability to critically evaluate AI-generated outputs for bias, hallucinations, and gaps; you know when to trust, refine, or override AI and can articulate that judgment.
• A proactive and highly self-driven approach, with a proven ability to independently identify research opportunities, define scope, and successfully project manage complex initiatives end-to-end, consistently delivering high-quality insights on time and within scope
• Resourcefulness in navigating ambiguity and establishing new processes and tooling where needed
• Proven experience as an embedded UX Researcher with deep expertise in applying a wide range of methodologies (e.g., usability studies, contextual inquiry, surveys) to identify and elevate user needs, driving valuable product outcomes
• Able to translate business problems into human-centered research questions, applying your technical understanding to inform company goals
• Exceptional proficiency in communicating complex research findings and insights, adeptly tailoring presentations and guiding collaborative sessions with diverse cross-functional partners and senior leadership to drive alignment and informed decisions
• Experience with products made for developers, administrators, or other technical audiences
• Strong decision-making and problem-solving capabilities while working with constraints
• Empathy for users and a passion for understanding technical experiences
• Experience working on security products is a plus
• A proactive and curious mindset with a dedication to continuous professional development, and a proven ability to contribute positively to the team's research culture and skill set

Qualifications:

• 8+ years of experience in a User Research or related role, with a strong digital portfolio demonstrating end-to-end research on shipped B2B or enterprise SaaS products. (A portfolio is required for consideration).
• Practical experience using LLMs to accelerate research workflows, with specific examples of measurable impact on project timelines or scale.
• Expertise in a wide range of qualitative and quantitative research methods.
• A Master’s degree in Human-Computer Interaction (HCI), Psychology, Sociology, or a related field is preferred.

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Okta seeks a skilled NetSuite Developer to optimize, customize, and maintain our NetSuite ERP system. As part of our Business Technology team, you will be responsible for developing scripts, workflows, integrations, and system enhancements to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We would love to hear from you!

Job Duties and Responsibilities

• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases
• Develop and maintain robust off-platform integration scripts, utilizing Python & LangChain and to manage data transfer and interaction between NetSuite (via SuiteTalk or RESTlets) and external AI/ML platforms, particularly for data preprocessing before RAG operations.1..
• Closely work with the BT team to design, develop, test, implement & support system solutions primarily in Finance Technology.
• Provide technical consultant, best practices, and problem resolution.
• Support & resolve production issues
• Develop and maintain integrations with third-party applications via REST/SOAP APIs

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions.
• Strong understanding of NetSuite ERP modules (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities.
• Deep practical experience in Prompt Engineering and iterative refinement of prompts within NetSuite Prompt Studio to maximize the relevance and accuracy of NetSuite AI outputs like Text Enhance.1
• Familiarity with containerization and orchestration tools (e.g., Docker) for deploying Python-based external services that augment NetSuite's capabilities
• Experience with ERP like Oracle Fusion Cloud Applications or SAP H4/HANA is a plus.
• Nice to have some experience with foundational AI services, including the desire to utilize a unified platform like AWS Bedrock for Generative AI development and deployment

Education and Certifications

• A Bachelor’s degree in Computer Science or Information Systems or equivalent years of industry experience
• NetSuite Administration or ERP consultant certification is an advantage

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Sr Analyst, Field Analytics

As part of Okta’s Go-To-Market Strategy & Operations group, the Field Analytics team drives insight and scale within the global field organization. We serve as the core engine for the analytics and strategic analysis that enable our leaders to make data-driven decisions that determine the trajectory of Okta’s growth.

You will be responsible for building high-impact technical assets, ranging from executive Tableau dashboards to standardized Snowflake datasets, while staying at the forefront of AI-driven analytics workflows. You will partner with US-based leadership and local team members to ensure our reporting framework is scalable, accurate, and deeply aligned with Okta’s global GTM strategy.

Job Duties & Responsibilities:

• Analytics Delivery: Design, build, and maintain high-visibility Tableau dashboards and reporting assets that provide actionable insights to business partners across the global organization.
• Data Set Engineering: Build and optimize production-grade data sets in Snowflake, ensuring that all field data (Pipeline, Bookings, Productivity) is clean, structured, and easily accessible for self-service analysis.
• Documentation & Governance: Take ownership of the technical documentation for all GTM reporting assets, ensuring data lineage, metric definitions, and logic are clearly defined and accessible.
• AI Implementation: Champion the use of Generative AI tools to accelerate the analytics lifecycle, including automating SQL query generation, streamlining data preparation, and enhancing report documentation.
• Global Collaboration: Work cross-functionally with Field Operations, Business Systems, and Data & Insights teams to capture requirements and deliver technical solutions that support our go-to-market initiatives

Required Skills & Qualifications: 

• 5+ years of professional experience in Data Analytics or Business Intelligence, ideally within a global delivery model.
• Technical Stack Expertise in SQL (Snowflake), BI Visualization tool (Tableau), and CRM data (Salesforce)
• Practical experience using Generative AI (e.g., GPT, Gemini, or GitHub Copilot) to improve technical productivity.
• A strong "documentation-first" mindset with the ability to create clear, concise technical and functional manuals.
• A relentless curiosity and a desire to "build it and own it," working both independently and collaboratively across a global team.
• Proven ability to translate complex data logic into clear, concise narratives.

Preferred Qualifications: 

• Proficiency with scripting (python) & data modeling (dbt) 
• Deep understanding of enterprise software sales processes, field operations, and cross functional GTM mechanics.
• Proven ability to operate independently within a global model, taking complex requirements from US-based stakeholders, execute high-quality technical work during India business hours, and provide comprehensive handoffs that allow projects to progress 24/7 without real-time oversight.

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The Opportunity:

Are you a data-driven storyteller with a passion for transforming raw information into actionable insights that drive tangible business outcomes? Do you thrive on collaborating directly with business stakeholders to understand their needs and then architecting elegant data solutions? If so, we have an exciting opportunity for a highly skilled and motivated Manager-level Business Analytics to join our growing team in Bangalore. In this role, you will be instrumental in empowering our business users with the data and visualizations they need to make informed decisions, analyze and drive improvements to our Finance operational performance, business decisions, and strategy. You will drive the analytics lifecycle, from initial consultation to the delivery of impactful dashboards and data sets.

What You'll Do:

• Strategic Alignment: Drive cross-functional alignment and prioritization of Finance analytics initiatives to generate actionable insights and tangible business improvements.
• Become a Trusted Advisor: Partner closely with business users across various departments to understand their strategic objectives, identify their analytical requirements, and translate those needs into clear and actionable data and reporting solutions.
• Consultative Analysis: Engage with stakeholders to explore their business questions, guide them on appropriate analytical approaches, and help them define key metrics and performance indicators (KPIs).
• Data Architecture & Design: Partner with our Data and Insights team to design and develop robust and efficient data models and datasets optimized for visualization and analysis, ensuring data accuracy and integrity.
• Enterprise Partnership & Analytics Foundations: Partner with the Enterprise Data & Insights team to align Finance with company-wide data standards and policies while developing the foundational infrastructure and capabilities of the Finance Analytics function.
• Expert Tableau Development: Leverage your deep expertise in Tableau to create intuitive, interactive, and visually compelling dashboards and reports that effectively communicate key insights and trends. Establish visualization best practices and storying and enable Finance report builders to adopt them.
• Data Wrangling & Transformation: Utilize Fivetran and/or Python scripting to extract, transform, and load data from various sources into our analytics platforms.
• End-to-End Ownership: Take full ownership of the analytics projects you lead, from initial scoping and data acquisition to dashboard deployment, user training, and ongoing maintenance.
• Drive Data Literacy: Educate and empower business users to effectively utilize dashboards and data insights to drive business outcomes.
• Stay Ahead of the Curve: Continuously explore new data visualization techniques, analytical methodologies, data technologies, and AI capabilities for interactive analytics to enhance our analytics capabilities.
• Collaborate and Communicate: Effectively communicate complex analytical findings and recommendations to stakeholders. Lead cross-functional collaborations to achieve project goals.
• Data Governance & Quality: Champion data accuracy, consistency, and integrity across Finance, driving robust governance and maintaining core foundations such as the reporting inventory, structure, access, and data dictionary.
• Performance Monitoring & Iteration: Monitor the performance and user adoption of developed dashboards, gather feedback, and implement necessary revisions for continuous improvement.
• Documentation & Training: Develop comprehensive documentation for created dashboards and datasets. Provide training and support to business users to ensure effective utilization of analytics tools.

What You'll Bring:

• 8+ years of experience in a Business Analytics, Data Analytics, or similar role with increasing responsibility.
• Proven experience working directly with business stakeholders to understand their needs and deliver data-driven solutions.
• Expert-level proficiency in Tableau, including advanced calculations, parameters, actions, and performance optimization.
• Strong hands-on experience in building and optimizing data sets for Tableau.
• Solid experience with data integration tools, preferably Fivetran, and the ability to design and implement data pipelines.
• Proficiency in Python for data manipulation, cleaning, and transformation (e.g., using libraries like Pandas).
• Strong understanding of data warehousing principles and experience with platforms such as Snowflake or Redshift.
• Advanced SQL skills for data extraction, transformation, and querying.
• AI literate, experience with traditional and generative AI. 
• Excellent problem-solving and analytical skills with a strong attention to detail and the ability to translate business questions into analytical frameworks.
• Exceptional written and verbal communication skills, with the ability to present complex data insights effectively to both technical and non-technical audiences.
• Proven ability to manage multiple analytics projects simultaneously, prioritize tasks, and meet deadlines effectively.
• Excellent collaboration and interpersonal skills with the ability to build strong working relationships with business stakeholders.
• Bachelor's degree in a quantitative field such as Engineering, Finance/Accounting/ Business, Economics, Statistics, Mathematics, Computer Science, or a related discipline. (Master's degree a plus).

Bonus Points For:

• Experience in SaaS software industry is highly preferred.
• Experience with other data visualization tools (e.g., Power BI, Looker).
• Familiarity with cloud-based data platforms (e.g., BigQuery).
• Familiarity with basic statistical concepts and methodologies is a plus.

This role is hybrid, with the expectation of working from our local office on specified days based on local expectations. We will continuously assess this arrangement, and it may be subject to change based on business needs and evolving circumstances.

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Okta seeks a skilled Staff Full Stack Engineer with expertise in NetSuite and/or  Oracle Fusion Cloud Applications. As part of our Business Technology team, you will be responsible for developing and optimizing full-stack solutions, including custom scripts, workflows, integrations, and system enhancements for both NetSuite and Oracle Fusion to improve business processes and scalability. This role will report to the Manager in Bangalore, India. We’d love to hear from you!

Job Duties and Responsibilities

• Design, develop, and maintain full-stack solutions for Finance Tech stack like NetSuite, Coupa and Oracle Fusion Cloud Applications etc., using any of the full-stack applications like Node Js/React
• Develop and maintain robust off-platform integration scripts using Python & LangChain to manage data transfer and interactions between NetSuite (via SuiteTalk or RESTlets) and AI Platforms
• Architect and implement scalable, secure, and cost-efficient cloud-native solutions on AWS for RAG, MCP, and Agentic AI (LangGraph) 
• Closely work with the BT Product Manager to design, develop, test, implement & support system solutions primarily in Finance Technology
• Provide technical consultation, best practices, and problem resolution for AI and Agentic AI for the Finance tech stack NetSuite, Oracle Fusion, and associated integrated systems
• Support & resolve production issues across the full application stack
• Develop and maintain integrations with third-party applications via REST/SOAP APIs
• Design and implement custom Generative AI solutions using the SuiteScript Generative AI API for practical NetSuite use cases and explore similar capabilities in Oracle Fusion

Required Skills:

• 9+ years in Python and its libraries (e.g., Pandas, Boto3) for data manipulation, ETL processes, and developing serverless functions to interact with foundational AI services on platforms like AWS Bedrock.
• Deep hands-on experience with AWS solutioning, including designing and deploying production applications using core services such as AWS EC2, AWS Lambda, Amazon S3, Amazon RDS, and API Gateway. Familiarity with Infrastructure as Code (IaC) tools like CloudFormation or Terraform is essential.
• Proficiency in NetSuite development experience (SuiteScript, SuiteFlow, SuiteTalk).
• Experience with SuiteCloud tools, REST/SOAP APIs, and third-party integrations.
• Experience with the SuiteScript Generative AI APIs to integrate LLM capabilities for advanced scripting solutions
• Strong understanding of Finance Business processes (Order Management, Billing, Vendor bill, etc.).
• Proficiency in JavaScript, SQL, and related web technologies
• Configure NetSuite modules to align with business needs, including leveraging Prompt Studio to customize and manage NetSuite AI functions like Text Enhance.
• Ability to drive and architect solutions with other developers, focusing on maximizing the value of embedded NetSuite AI capabilities
• Working Experience on the MCP and familiar with SaaS MCP connectors, like NetSuite MCP or similar
• Working experience with foundational AI services, with a desire to use a unified platform like AWS Bedrock for Generative AI development and deployment
• Nice to have some core Amazon Machine Learning (ML) services, specifically AWS SageMaker (for building, training, and deploying custom ML models), AWS Comprehend (for natural language processing and text analytics), and  Retrieval Augmented Generation (RAG)

Education and Certifications

• A Bachelor’s degree in Computer Science, Information Systems, or equivalent years of industry experience
• AWS cloud Certification or any ERP foundation certificate is a plus

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The Overview 

At Okta, we're building a world where anyone can safely use any technology, and we're specifically focused on protecting the future of work. We bring simple and secure access to people and organizations everywhere, promising to not only protect the identities of our customers' workforce and users but to ask, “what more can we make possible?”

As a Staff Product Designer for Okta, you’ll work with a globally distributed design team to apply your craft and expertise on a range of products and services. Our culture provides the opportunity to explore the technologies we’re researching and investing in. Some of your work will be functional, practical user experience design, where you will help our design team drive cohesive user experience across Okta’s portfolio of products. Other work will be speculative, generative explorations that you carry out in collaboration and partnership across the organization to flesh out, frame, and help prioritize solutions in an ever-evolving and complex, often ambiguous, problem space.

The Finer Print 

You will lead user experience strategy and execution for our Okta Research & Development (ORD) business unit. Specifically, ORD will solve every identity use case at work – for all types of people (employees, business partners, contractors, frontline workers), for all types of resources (SaaS, servers, privileged resources, machines, etc.), for the largest and most secure businesses in the world. As a designer, your focus will be on helping us build a secure, trusted, and unified platform with deep integrations.

In this role, you have the opportunity to:

• Lead a holistic, human-centered approach to design.
• Guide and oversee the UX strategy alongside cross-functional partners, collaborating to take products from concept to launch and define the long-term strategy for your product area.
• Design and facilitate co-creation design workshops with Product Management, Engineering, and Design to define opportunities within our products to solve valuable customer problems.
• Craft user-centered artifacts and end-to-end journeys to align teams contributing to Workforce Identity Management around the broader user experience.
• Collaborate with other Okta designers to ensure consistency across interface experiences across different user scenarios.
• Inspire teams to think bigger and act smaller, instilling an iterative process and fail-forward mentality to design simple and delightful user interfaces for new and existing Okta products.
• Advocate, mentor, and educate on the benefits of design thinking to product teams and new designers alike; partnering with UX team members to uphold our principles and standards.
• Mentor junior designers and contribute toward team-level and design practice and process improvements.
• Work with Design Leadership to define and drive the frameworks, contracts, and standards for others to be able to then build on top of and add value to, ensuring the quality of UX delivery.
• Find creative ways to continuously learn from customers and users; collaborating with user researchers to research and synthesize user needs to help conceive, define, test, and evolve solutions for our users across a range of mediums and experiences; Advocate for users and deliver user and customer outcomes in a dynamic work environment.
• Help product designers create success metrics to illustrate a clear understanding of how their designs impact customers.
• Present work, concepts, and new ideas to cross-functional team members, adjacent teams, and senior leadership; working to distill complex technical problems into clear, conceptual models and simple, elegant solutions.
• Keep abreast of competitor products and industry trends, including the practical application of AI in the design process; Perform competitive and comparative analysis to understand existing patterns.

Who We Are Looking For

• You have experience leading cross-discipline teams and exemplify leadership.
• You are passionate about solving complex problems, crafting and sharing product and design UX principles to help teams deliver cohesive user experiences.
• You are great at collaborating, sharing work early and often, and seeking constructive feedback from peers and stakeholders.
• You are a pragmatist who actively uses AI tools to improve and accelerate your day-to-day design workflow.
• Demonstrated, hands-on experience using AI-powered design tools (e.g., for ideation, asset generation, or prototyping) in your daily design activities.
• You have the heart of a teacher and can help mentor and train people. You build and share empathy with people to deeply understand them and their needs.
• You are a thought leader, undertaking explorations into new technologies and territories while also delivering practical designs.
• You see design as a partner in shaping strategic and operational product and UX outcomes; comfortable owning all stages of design for multiple teams within a given product area.
• You bring a systems-thinking lens to the conversation.
• You are passionate about supporting teams with a wide variety of experience, backgrounds, and interests.
• Your portfolio will show that you've worked on complex and/or technical projects across all aspects of the design process (conceptual design, interaction design, information architecture, and visual design).
• You are adept at working in a diverse, globally distributed team and have experience with remote collaboration tools.

Qualifications:

• 8+ years of relevant work experience as a Product Designer or UX Designer, with a portfolio showcasing shipped B2B or enterprise products.
• Degree in a related field or relevant work experience as a Product Designer or UX Designer.
• Proficient in Figma, Sketch, Adobe Creative Suite, and/or similar design tools.
• Possesses at least a basic understanding of HTML/CSS/JavaScript.
• Can provide a digital portfolio that showcases solid skills across a variety of projects, including work that has been seen and used successfully in actual products. (Portfolio link required when applying.)

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About the role:

As a Sr. Manager, Platform & Architecture you will lead the definition, governance & continuous evolution of the enterprise data architecture vision and roadmap, ensuring strong alignment with business strategy and digital transformation goals. This role is accountable for establishing modern, secure, and scalable data platform architectures that enable advanced analytics, AI/ML, generative AI, and self service data capabilities across the organization.

You will provide strategic leadership in embedding AI into the enterprise data platform, enabling use cases such as predictive analytics, intelligent automation, and generative AI, while ensuring responsible AI practices, model governance, data quality, and regulatory compliance.

The role requires deep expertise in data architecture, cloud data platforms, analytics ecosystems, and platform security, combined with strong people and stakeholder management skills. You will guide the evaluation and adoption of emerging technologies, oversee PoC initiatives, and drive the operationalization of AI/ML and GenAI solutions.

Working closely with data engineering, analytics, AI/ML, security, and business leaders, you will ensure the delivery of trusted, high performing, and future ready data and AI platforms that scale with organizational needs.

What you'll do:

Strategic Leadership & Architecture Vision

• Define and own the enterprise data architecture vision and roadmap aligned with business strategy.
• Establish architectural principles, standards, and best practices across data modeling, integration, metadata, and analytics
• Guide architectural decisions to support scalability, performance, security, and future growth.
• Evaluate and approve new data technologies, platforms, and tools

Team Management & Development

• Lead, mentor, and manage data modelers & architects, platform engineers and data engineers
• Set goals, conduct performance reviews, and support career growth and skills development
• Ensure effective workload planning, prioritization, and resource allocation
• Promote a culture of collaboration, documentation, and architectural discipline

Data Platform & Architecture Design

• Design and oversee end to end data architectures, including ingestion, storage, processing, analytics, and consumption layers
• Define scalable patterns for batch, near real time, and streaming data processing
• Establish standards for data platforms, ingestion frameworks, transformation and modeling approaches, and BI/visualization tools
• Ensure platform reliability, performance, scalability, and cost optimization

Platform Engineering, Security & Governance

• Architect platforms with security by design, including IAM, RBAC, data encryption, masking, and auditing
• Collaborate with security and compliance teams to meet regulatory and data privacy requirements
• Define and enforce data governance standards, including metadata management, lineage, data quality, and observability
• Support platform monitoring, availability, and operational excellence

Advanced Analytics & Innovation

• Enable advanced analytics use cases, including forecasting, predictive modeling, and statistical analysis
• Support data science and analytics teams by designing architectures for ML pipelines, feature stores, and model deployment
• Lead Proof of Concept (PoC) initiatives to evaluate new data, analytics, and platform tools
• Assess emerging technologies for scalability, security, integration, and business value

Self-Service & Data Enablement

• Drive the self-service analytics strategy to empower analysts and business users
• Design curated, governed data layers and semantic models for trusted self-service access
• Reduce dependency on IT by enabling reusable data assets and standardized analytics frameworks
• Partner with stakeholders to align data products with business needs

Experience you'll need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field
• 10 - 15+ years of experience in data engineering, analytics, or platform architecture roles
• Strong experience designing and implementing modern data architectures and cloud data platforms.
• Hands-on and architectural experience with:
  • Snowflake or similar cloud data warehouse/data lake experience
  • Tableau or similar BI tools
  • Fivetran or equivalent ingestion tools
  • dbt or similar data transformation frameworks
• Proficiency in SQL, Python, Spark, and data modeling techniques.
• Experience with cloud platforms such as AWS, Azure, or GCP

Preferred Qualifications:

• Experience with advanced analytics, forecasting, and predictive modeling.
• Knowledge of ML/AI platforms and MLOps concepts.
• Strong understanding of data security, governance, and compliance frameworks.
• Excellent communication and stakeholder management skills.
• Experience working in large-scale or enterprise Data & Analytics environments.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Cloud Engineer, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 6+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

• Design GCP-native architectures using services such as BigQuery, Dataflow (Apache Beam), Cloud Composer (Airflow), Pub/Sub, Cloud Storage, Vertex AI, and Cloud Run
• Build and maintain data pipelines — batch and streaming — following medallion architecture patterns (Bronze / Silver / Gold)
• Implement infrastructure as code using Terraform and manage deployments via Cloud Build or equivalent CI/CD tooling
• Define and apply GCP landing zone standards including IAM, VPC, Shared VPC, Private Service Connect, and Org policies
• Develop end-to-end Lakehouse solutions on Databricks — including Delta Lake table design, Unity Catalog governance, and MLflow model tracking
• Write and optimise PySpark and SQL workloads for large-scale transformations and feature engineering
• Configure Databricks clusters, job scheduling, auto-scaling, and cost controls in a GCP (DBX on GCP) environment
• Implement Databricks Workflows and Asset Bundles for orchestration and deployment automation
• Advise clients on Databricks platform adoption, including migration pathways from legacy Hadoop or on-premise data warehouses
• Lead technical workshops and requirements-gathering sessions with client technical and business teams
• Produce high-quality client-facing deliverables: architecture diagrams, technical specifications, migration runbooks, and data dictionaries
• Present solution designs and progress updates to client stakeholders — adapting technical communication to audience level (CTO to Business Analyst)
• Manage technical dependencies, risks, and issues across delivery workstreams — escalating to Delivery Managers as appropriate
• Participate in sprint ceremonies and maintain delivery velocity within Agile/Scrum or Kanban frameworks
• Implement data quality frameworks using tools such as Great Expectations, dbt tests, or Databricks Delta constraints
• Support data catalogue initiatives and metadata management using Dataplex or Unity Catalog
• Ensure GDPR/data residency compliance is embedded into solution design from the outset
• Support practice leads in responding to RFPs and RFIs — contributing to effort estimation, solution sizing, and proposal narrative
• Contribute to internal knowledge-sharing — through documentation, runbooks, and team enablement sessions
• Stay current with GCP and Databricks product roadmaps and proactively identify opportunities to introduce new capabilities to clients

Must have qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience
• 6+ years of hands-on professional experience in cloud data engineering or GCP platform roles.
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Associate Developer for Apache Spark or Databricks Certified Data Engineer certification
• BigQuery — advanced SQL, partitioning, clustering, cost optimization
• Cloud Storage, Cloud Functions, Cloud Run
• Dataflow (Apache Beam) — batch & streaming pipelines
• Cloud Composer / Airflow — DAG authoring and management
• Pub/Sub — event-driven architectures
• Vertex AI — model serving and Pipelines exposure
• IAM, VPC, Org Policies — security and governance
• Cloud Build / Artifact Registry — CI/CD and containerization
• Terraform — infrastructure as code on GCP
• Looker / Looker Studio — reporting layer familiarity
• PySpark — DataFrame API, optimization, broadcast joins
• Delta Lake — ACID transactions, time travel, Z-ordering
• Unity Catalog — governance, lineage, access control
• Databricks Workflows / Job orchestration
• Databricks on GCP — cluster config, instance pools
• MLflow — experiment tracking, model registry
• dbt on Databricks or BigQuery
• Databricks Asset Bundles / CI/CD integration
• Python — data engineering and scripting proficiency
• SQL — advanced analytical queries
• Git / version control — branching, PR workflows
• Docker — containerization basics
• Unit testing and data pipeline testing practices
• REST API integration patterns

Nice to have qualifications  

• Experience with Azure or AWS alongside GCP — hybrid cloud delivery experience
• Familiarity with commercetools, Contentful, or other composable commerce/content platforms
• Exposure to Salesforce Marketing Cloud data connectors or CDPs
• Knowledge of Generative AI / LLM integration patterns — Vertex AI GenAI Studio, Gemini APIs
• Experience with Databricks Agent Framework or LangChain for agentic AI workloads
• Apache Kafka or Confluent Cloud for event streaming architectures
• Google Cloud Professional Machine Learning Engineer
• HashiCorp Terraform Associate.
• Experience in luxury, retail, or FMCG verticals — understanding of product data models and PIM systems

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Full Time position based in Bengaluru

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

As a Data Architect, you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 10+ YEARS of experience, a growth mindset and a drive to make a lasting impact. 

You will thrive in this role if you are: 

• A curious problem solver who challenges the status quo 
• A collaborator who values teamwork and knowledge-sharing 
• Excited by the intersection of technology, creativity and data 
• Experienced in Agile methodologies and consulting (a plus) 

Role responsibilities

Must have qualifications

To be considered for this role, you must meet the following essential qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or equivalent professional experience
• 10+ years of progressive experience in data architecture, data platform engineering, or enterprise BI/analytics roles
• Demonstrable experience as a lead data architect on at least two large-scale enterprise data platform programmes
• 3NF — operational and transactional layer design
• Dimensional modelling — Kimball star/snowflake, slowly changing dimensions
• Data Vault 2.0 — hubs, links, satellites, business keys
• Data mesh & domain-oriented data product design
• Architecture Decision Records (ADRs) and C4 modelling
• Data contract design — schema, SLAs, versioning
• Data catalogue & metadata management design
• Data quality framework design and governance policy
• BigQuery — advanced design, partitioning, clustering, BI Engine
• Dataflow (Apache Beam) — streaming and batch architecture
• Cloud Composer / Airflow — orchestration design
• Pub/Sub — event-driven data product patterns
• Dataplex — data cataloguing, lineage, data quality
• Vertex AI Pipelines — ML feature pipeline integration
• Cloud Storage — data lake zone design (raw/curated/serving)
• Terraform — IaC standards and landing zone design
• Databricks Lakehouse — medallion architecture, zone design
• Delta Lake — ACID, time travel, schema evolution, Z-ordering
• Unity Catalog — governance, lineage, access control, data products
• Databricks Workflows and Asset Bundles — lifecycle automation
• PySpark — advanced optimization, broadcast, AQE, dynamic pruning
• dbt on Databricks — transformation layer standards
• Databricks on GCP — cluster policy, instance pools, cost governance
• MLflow — model registry integration with data product layer
• Unity Catalog — fine-grained access, row/column security
• Dataplex — data mesh governance on GCP
• Data lineage — column-level lineage design and tooling
• GDPR, data residency, and privacy-by-design principles
• Data stewardship operating models
• Metadata standards — Dublin Core, OpenLineage, OpenMetadata
• Google Cloud Professional Data Engineer or Professional Cloud Architect certification
• Databricks Certified Professional Data Engineer or Databricks Certified Associate Developer for Apache Spark
• TOGAF, Zachman, or equivalent enterprise architecture framework certification.

Nice to have qualifications  

• Azure Synapse / Microsoft Fabric — cross-cloud architecture experience
• Apache Iceberg or Apache Hudi — open table format evaluation and migration experience
• Event-driven architecture — Apache Kafka, Confluent Cloud, or Pub/Sub advanced patterns
• Generative AI integration patterns — RAG pipelines, vector stores (AlloyDB, Vertex AI Vector Search), LLM-as-data-product
• Exposure to composable commerce data models — product, pricing, inventory, order domains (commercetools, SFCC, SAP Commerce)
• Experience in luxury, retail, or FMCG verticals — multi-brand data architectures, PIM/DAM integration patterns
• OpenMetadata or Collibra — enterprise-grade data catalogue implementation
• Familiarity with Salesforce Marketing Cloud data connectors or Customer Data Platforms (CDPs)
• Google Cloud Professional Machine Learning Engineer
• CDMP (Certified Data Management Professional) — DAMA certification
• HashiCorp Terraform Associate

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits  

This is a Fulltime position based in Bengaluru. 

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud!

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

About The Role

As our team grows Cerebras is looking for a world class physical design engineer. We are looking for a strong learner who can learn how we do PD and integration of our wafer scale design.
As a member of our tight knit physical design team, you will perform a variety of physical design tasks such as synthesis, place and route, timing and block closure / sign off. You will be involved in all aspects of physical design and implementation. You will work closely with the RTL team and with full-chip integration of these blocks.

Skills and Qualifications

• 7+ years of physical design/verification experience.
• Strong experience in block/subsystem timing closure.
• Strong ability to learn and grow with the team.
• Strong knowledge of block level and full-chip physical verification methodology.
• Expert at optimizing for the best power/performance and area.
• Experience with the complete physical design flow. Knowledge of Synopsys tool suite is a plus.
• Expert with ICV or Calibre tools resolving block and full-chip DRC and LVS issues.
• Expert with IR/EM analysis and resolution.
• Good understanding of full chip floor-planning and integration. 
• Strong ability in scripting languages like Tcl and Python. Ability to make flow enhancements.
• Demonstrated ability to work with RTL teams to optimize for physical design.
• Ability to take on a leadership role after ramping up on wafer scale design

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

Retail and Selection is the engine behind Coupang’s massive product catalog, ensuring we offer the right products at the right price with the best availability. As we scale, the complexity of managing millions of SKUs and thousands of vendor relationships grows exponentially.
We are looking for a Staff Data Analyst to join the Retail and Selection team. In this role, you will be the technical architect of our data strategy, transforming raw market signals and internal metrics into a competitive advantage. You will work on projects that define the quality, availability, and depth of data needed to optimize our selection, pricing, and inventory health. You will use your deep expertise in SQL, ETL development, and data integrity to ensure Coupang’s leadership has the insights needed to dominate the retail landscape.

What You Will Do

• Data Strategy & Governance: Lead high-impact projects to improve the quality and depth of selection data, ensuring "source of truth" reliability for multi-billion dollar business decisions.
• Pipeline & ETL Mastery: Architect and maintain robust data ETL processes to integrate disparate signals from market trends, vendor performance, and customer demand.
• AI & Prompt Engineering: Leverage Large Language Models (LLMs) and advanced prompt engineering to automate catalog categorization, extract insights from unstructured vendor data, and accelerate internal analytical workflows.
• Knowledge Management: Own and evolve the Retail Team Knowledge Base, ensuring that technical documentation, data dictionaries, and business logic are centralized, searchable, and up-to-date for Data Analysis using AI tools.
• Business Empowerment: Support the onboarding of business users, designing training programs and self-service dashboards that enable Category Managers and Vendors to make data-driven decisions independently.
• Advanced Decision Modeling: Structure large-scale datasets to build decision models for SKU rationalization, automated replenishment, and competitive benchmarking.
• Optimization & Simulation: Run complex simulations to predict the impact of selection changes on customer retention and long-term profitability.
• Stakeholder Influence: Translate complex analytical findings into clear, actionable narratives for executive stakeholders across Retail and Supply Chain teams.
• Mentorship: Act as a technical beacon for the analytics community, guiding senior and junior analysts in their technical development and problem-solving frameworks.

Basic Qualifications

• Experience: 5+ years of relevant working experience in a data analytics or business intelligence role.
• Technical Stack: Expert-level proficiency in SQL and Python/R for data extraction and manipulation.
• AI Proficiency: Practical experience with prompt engineering and using generative AI tools to solve data problems or automate content generation.
• Visualization: Mastery of data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to non-experts.
• Communication: Business-level fluency in English with a proven ability to teach and onboard non-technical business users.

Preferred Qualifications  

• Data Engineering: Hands-on experience with version control (GitHub) and workflow orchestration tools like Airflow.
• Content & Documentation: Experience managing internal wikis (e.g., Confluence, Notion) or building structured knowledge bases for large organizations.
• Domain Expertise: Previous experience in Retail, E-commerce selection management, or Demand Forecasting.
• Quantitative Depth: Strong knowledge of statistics and ML techniques (e.g., elasticity modeling, clustering for customer segmentation).

Type of work model 

• Hybrid 
  
  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Please complete the attached Internal Transfer Request Form and submit.   

Please make sure to apply with your Coupang e-mail address.   

Company Introduction  

We exist to wow our customers. We know we’re doing the right thing when we hear our customers say, “How did we ever live without Coupang?” Born out of an obsession to make shopping, eating, and living easier than ever, we’re collectively disrupting the multi-billion-dollar e-commerce industry from the ground up. We are one of the fastest-growing e-commerce companies that established an unparalleled reputation for being a dominant and reliable force in South Korean commerce.   

We are proud to have the best of both worlds — a startup culture with the resources of a large global public company. This fuels us to continue our growth and launch new services at the speed we have been since our inception. We are all entrepreneurs surrounded by opportunities to drive new initiatives and innovations. At our core, we are bold and ambitious people that like to get our hands dirty and make a hands-on impact. At Coupang, you will see yourself, your colleagues, your team, and the company grow every day.  

Our mission to build the future of commerce is real. We push the boundaries of what’s possible to solve problems and break traditional tradeoffs. Join Coupang now to create an epic experience in this always-on, high-tech, and hyper-connected world. 
  

Role Overview

Retail and Selection is the engine behind Coupang’s massive product catalog, ensuring we offer the right products at the right price with the best availability. As we scale, the complexity of managing millions of SKUs and thousands of vendor relationships grows exponentially.
We are looking for a Staff Data Analyst to join the Retail and Selection team. In this role, you will be the technical architect of our data strategy, transforming raw market signals and internal metrics into a competitive advantage. You will work on projects that define the quality, availability, and depth of data needed to optimize our selection, pricing, and inventory health. You will use your deep expertise in SQL, ETL development, and data integrity to ensure Coupang’s leadership has the insights needed to dominate the retail landscape.

What You Will Do

• Data Strategy & Governance: Lead high-impact projects to improve the quality and depth of selection data, ensuring "source of truth" reliability for multi-billion dollar business decisions.
• Pipeline & ETL Mastery: Architect and maintain robust data ETL processes to integrate disparate signals from market trends, vendor performance, and customer demand.
• AI & Prompt Engineering: Leverage Large Language Models (LLMs) and advanced prompt engineering to automate catalog categorization, extract insights from unstructured vendor data, and accelerate internal analytical workflows.
• Knowledge Management: Own and evolve the Retail Team Knowledge Base, ensuring that technical documentation, data dictionaries, and business logic are centralized, searchable, and up-to-date for Data Analysis using AI tools.
• Business Empowerment: Support the onboarding of business users, designing training programs and self-service dashboards that enable Category Managers and Vendors to make data-driven decisions independently.
• Advanced Decision Modeling: Structure large-scale datasets to build decision models for SKU rationalization, automated replenishment, and competitive benchmarking.
• Optimization & Simulation: Run complex simulations to predict the impact of selection changes on customer retention and long-term profitability.
• Stakeholder Influence: Translate complex analytical findings into clear, actionable narratives for executive stakeholders across Retail and Supply Chain teams.
• Mentorship: Act as a technical beacon for the analytics community, guiding senior and junior analysts in their technical development and problem-solving frameworks.

Basic Qualifications

• Experience: 5+ years of relevant working experience in a data analytics or business intelligence role.
• Technical Stack: Expert-level proficiency in SQL and Python/R for data extraction and manipulation.
• AI Proficiency: Practical experience with prompt engineering and using generative AI tools to solve data problems or automate content generation.
• Visualization: Mastery of data storytelling using PowerBI, Tableau, or similar tools to communicate insights effectively to non-experts.
• Communication: Business-level fluency in English with a proven ability to teach and onboard non-technical business users.

Preferred Qualifications  

• Data Engineering: Hands-on experience with version control (GitHub) and workflow orchestration tools like Airflow.
• Content & Documentation: Experience managing internal wikis (e.g., Confluence, Notion) or building structured knowledge bases for large organizations.
• Domain Expertise: Previous experience in Retail, E-commerce selection management, or Demand Forecasting.
• Quantitative Depth: Strong knowledge of statistics and ML techniques (e.g., elasticity modeling, clustering for customer segmentation).

Type of work model 

• Hybrid 
  
  

Details to consider 

• Those eligible for employment protection (recipients of veteran’s benefits, the disabled, etc.) may receive preferential treatment for employment in accordance with applicable laws. 
   

Privacy Notice  

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. https://privacy.coupang.com/en/land/jobs/ 

Business Insights and Analytics (BA/SBA)

About Sigmoid:

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India.

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists.

An ideal person will come with a good mix of experience in developing complex business intelligence dashboards and provide insights. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. 

Responsibilities Include

• Design, build and deploy scalable BI solutions with Insights based on the client requirements.

• Participate in client calls to understand the technical requirements, challenges as well as understand the business problem

• Document SOPs, project work in a timely and effective manner.

• Drive deep insights and analysis, beyond the obvious, to add business value

• Identify ways to improve performance of existing dashboards, queries, architecture 

• Adhere to delivery, quality metrics and internal governance

• Work independently with minimal to no guidance from the BIA leaders

• This role will require working on multiple engagements in parallel 

Experience and Qualifications

• 8 years (max) of overall experience in Business Intelligence and Data Analytics.

• Strong technical background in BI tools like Power BI, Tableau, Qlik etc.

• Strong technical knowledge of SQL, ETL 

• Ability to engage with clients, from both business and technical functions, understand their work and decision flows, requirement for reporting, insights and decision support

• Highly analytical with the ability to collate, analyze and present data and drive clear and actionable insights

• Experience working in multiple domains like BFS, CPG, Supply Chain, Manufacturing and Marketing domains are a plus.

• Strong problem-solving skills and ability to prioritize conflicting requirements.

• Excellent written and verbal communication skills.

Business Insights and Analytics (BA/SBA/AM) 

About Sigmoid: 

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. 

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. 

An ideal person will come with a good mix of experience in developing complex business intelligence dashboards and provide insights. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. 

Responsibilities 

• Architect, develop, and deploy scalable Data solutions that transform complex data into actionable insights aligned with client objectives. 
• Lead client discussions to translate business challenges into robust technical solutions, clearly understanding both functional and strategic requirements. 
• Deliver deep analytical insights that go beyond surface-level reporting to drive measurable business value and informed decision-making. 
• Optimize and enhance existing dashboards, queries, and data architectures to improve performance, usability, and scalability. 
• Create and maintain comprehensive SOPs and project documentation with accuracy and timeliness.
• Ensure adherence to delivery timelines, quality benchmarks, and internal governance standards.
• Operate independently with minimal supervision while managing multiple parallel engagements effectively. 

Experience and Qualifications 

• 5–8 years of hands-on experience in Business Intelligence and Data Analytics. 
• Strong understanding of data and data modelling, enabling the design of scalable, efficient, and business-aligned data architectures. 
• Exposure to BI tools such as Power BI, Tableau, and Qlik. 
• Advanced proficiency in SQL, and Semantic Layer design. 
• Demonstrated ability to engage with cross-functional stakeholders (business and technical), understand decision flows, and translate reporting needs into impactful insights. 
• Highly analytical mindset with proven capability to synthesize data into clear, compelling, and actionable recommendations. 
• Exposure to diverse domains such as BFS, CPG, Supply Chain, Manufacturing, and Marketing is an advantage. 
• Strong problem-solving skills with the ability to manage competing priorities in dynamic environments.
• Excellent written and verbal communication skills, with the ability to present insights confidently to stakeholders. 

Good to Have 

• Experience designing Gold layers and Semantic layers within modern data architectures.
• Familiarity with AI-driven conversational chatbots and intelligent reporting assistants. 
• Exposure to AI-powered control towers and advanced monitoring solutions.

The below role is for our Bengaluru office. 

Director – Data Science 

Why Join Sigmoid? 

• Sigmoid provides the opportunity to push the boundaries of what is possible by seamlessly combining technical expertise and creativity to tackle intrinsically complex business problems and convert them into straight-forward data solutions. 
• Despite being continuously challenged, you are not alone. You will be part of a fast-paced diverse environment as a member of a high-performing team that works together to energize and inspire each other by challenging the status quo 
• Vibrant inclusive culture of mutual respect and fun through both work and play

Roles and Responsibilities: 

• Convert broad vision and concepts into a structured data science roadmap, and guide a  team to successfully execute on it. 
• Handling end-to-end client AI & analytics programs in a fluid environment. Your role will be a  combination of hands-on contribution, technical team management, and client interaction.
• Proven ability to discover solutions hidden in large datasets and to drive business results  with their data-based insights 
• Contribute to internal product development initiatives related to data science.
• Drive excellent project management required to deliver complex projects, including  effort/time estimation. 
• Be proactive, with full ownership of the engagement. Build scalable client engagement level  processes for faster turnaround & higher accuracy 
• Define Technology/ Strategy and Roadmap for client accounts, and guides implementation  of that strategy within projects 
• Manage the team-members, to ensure that the project plan is being adhered to over the  course of the project 
• Build a trusted advisor relationship with the IT management at clients and internal accounts  leadership. 

Mandated Skills: 

• A B-Tech/M-Tech/MBA from a top tier Institute preferably in a quantitative subject
• 15+ overall experience with 12+ years of hands-on experience in applied Machine Learning, AI and analytics
• Experience of scientific programming in scripting languages like Python, R, SQL, NoSQL, Spark with ML tools & Cloud Technology (AWS, Azure, GCP) 
• Experience in Python libraries such as numpy, pandas, scikit-learn, tensor-flow, scrapy, BERT etc.
• Strong grasp of depth and breadth of machine learning, deep learning, data mining, and statistical concepts and experience in developing models and solutions in these areas
• Expertise with client engagement, understanding complex problem statements, and offering solutions in the domains of Supply Chain, Manufacturing, CPG, Marketing etc. 

Desired Skills: 

• Deep understanding of ML algorithms for common use cases in both structured and  unstructured data ecosystems. 
• Comfortable with large scale data processing and distributed computing 
• Providing required inputs to sales, and pre-sales activities 
• A self-starter who can work well with minimal guidance
• Excellent written and verbal communication skills

Business Insights and Analytics (BA/SBA/AM) 

About Sigmoid: 

Sigmoid empowers enterprises to make smarter, data-driven decisions by blending advanced data engineering with AI consulting. We collaborate with some of the world’s leading data-rich organizations across sectors such as CPG-retail, BFSI, life sciences, manufacturing, and more to solve complex business challenges. Our global team specializes in cloud data modernization, predictive analytics, generative AI, and DataOps, supported by 10+ delivery centers and innovation hubs, including a major global presence in Bengaluru and operations across the USA, Canada, UK, Netherlands, Poland, Singapore, and India. 

Recognized as a leader in the data and analytics space, Sigmoid is backed by Peak XV Partners and has consistently received accolades for innovation and rapid growth. Highlights include being named a ‘Leader’ in ISG’s Specialty Analytics Services for Supply Chain (2024), a two-time ‘India Future Unicorn’ by Hurun India, and a four-time honoree on both the Inc. 500 and Deloitte Technology Fast 500 lists. 

An ideal person will come with a good mix of experience in developing complex business intelligence dashboards and provide insights. This position will give you an immense opportunity to work on challenging business problems faced by fortune 500 companies across the globe. 

Responsibilities 

• Architect, develop, and deploy scalable Data solutions that transform complex data into actionable insights aligned with client objectives. 
• Lead client discussions to translate business challenges into robust technical solutions, clearly understanding both functional and strategic requirements. 
• Deliver deep analytical insights that go beyond surface-level reporting to drive measurable business value and informed decision-making. 
• Optimize and enhance existing dashboards, queries, and data architectures to improve performance, usability, and scalability. 
• Create and maintain comprehensive SOPs and project documentation with accuracy and timeliness.
• Ensure adherence to delivery timelines, quality benchmarks, and internal governance standards.
• Operate independently with minimal supervision while managing multiple parallel engagements effectively. 

Experience and Qualifications 

• 5–8 years of hands-on experience in Business Intelligence and Data Analytics. 
• Strong understanding of data and data modeling, enabling the design of scalable, efficient, and business-aligned data architectures. 
• Exposure to BI tools such as Power BI, Tableau, and Qlik. 
• Advanced proficiency in SQL, and Semantic Layer design. 
• Demonstrated ability to engage with cross-functional stakeholders (business and technical), understand decision flows, and translate reporting needs into impactful insights. 
• Highly analytical mindset with proven capability to synthesize data into clear, compelling, and actionable recommendations. 
• Exposure to diverse domains such as BFS, CPG, Supply Chain, Manufacturing, and Marketing is an advantage. 
• Strong problem-solving skills with the ability to manage competing priorities in dynamic environments.
• Excellent written and verbal communication skills, with the ability to present insights confidently to stakeholders. 

Good to Have 

• Experience designing Gold layers and Semantic layers within modern data architectures.
• Familiarity with AI-driven conversational chatbots and intelligent reporting assistants. 
• Exposure to AI-powered control towers and advanced monitoring solutions.

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 6+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

Reports To

Director, NOC Delivery & Automation

What You Will Be Doing

• Lead the development of cutting-edge AI solutions across Voice AI, Computer Vision, and Conversational AI domains.
• You will architect and build production-grade AI systems that enhance our monitoring and analytics platform, improve customer support experiences, and enable intelligent automation across our EV charging infrastructure.
• Work closely with cross-functional teams to design, build, and deploy AI-powered solutions that directly improve the experience for millions of EV drivers and operators worldwide.

What You Will Bring to ChargePoint

• Deep expertise in Python, FastAPI, Django, and modern backend frameworks for AI service development
• Hands-on experience with LLM engineering: LangChain, LangGraph, Amazon Bedrock/OpenAI APIs, prompt engineering, and RAG architectures
• Strong experience with Elasticsearch including vector search, hybrid search (BM25 + dense embeddings), and semantic retrieval
• Proficiency with vector databases (Qdrant, ChromaDB, Pinecone) and embedding-based retrieval systems
• Experience building production LLM systems with focus on low-latency inference, caching strategies, and observability
• Strong foundation in distributed systems design, microservices architecture, and event-driven patterns (Kafka, RabbitMQ)
• Experience with cloud platforms (AWS/GCP), containerization (Docker, Kubernetes), and CI/CD pipelines
• Strong knowledge of PostgreSQL (query optimization, schema design), Redis, MongoDB, and message queues
• Track record of optimizing system performance with measurable improvements (latency reduction, cost optimization)

Requirements

• 8+ years of software engineering experience with 4+ years focused on AI/ML systems in production
• Tech/B.E. or M.S. in Computer Science, Machine Learning, or related field from a top-tier institution
• Experience with Voice AI systems, telephony integrations (Genesys, SIP), and speech processing pipelines
• Background in computer vision, image processing, or visual transformer architectures
• Data engineering experience with Airflow, DBT, and analytics platforms (ClickHouse, Trino, Iceberg)
• Experience working with massive datasets (50TB+) and building scalable data pipelines
• Hands-on experience with model fine-tuning techniques (LoRA/QLoRA) for domain-specific applications
• Familiarity with RLHF-style preference tuning and model alignment techniques
• Experience with observability and monitoring stacks including metrics, logging, and tracing
• Certifications in Generative AI, Agentic AI, or related specialization.

Location

Bangalore, India

About the Opportunity

The Impact you bring to Cognite

Key Responsibilities

• Take product requirements and independently design, train, test, and deploy ML models (e.g., NLP, Vision-Language Models) for document parsing, layout analysis, and entity matching.
• Write high-quality, scalable production code (Python). Wrap your ML models into robust RESTful or gRPC APIs and integrate them seamlessly into existing industrial master data systems and workflows.
• Implement and maintain CI/CD pipelines for your models. Navigate complex deployment environments, manage containerized applications (Docker/Kubernetes), and optimize inference bottlenecks.
• Work with Principal engineers to translate high-level system architectures into concrete, scalable data pipelines and production-ready microservices.
• Design automated testing for ML pipelines. Monitor deployed models in production for data drift, latency, and accuracy, proactively implementing retraining strategies.
• Collaborate effectively with product managers to define ML capabilities. Provide code reviews and informal technical mentorship to engineers.

Required Skills and Qualifications

• Bachelor’s or Master's degree in Computer Science, Data Science, Software Engineering, or a related field.
• 6–10 years of industry experience in software engineering with a strong focus on machine learning, MLOps, and API development.
• Strong programming skills in Python with experience using backend web frameworks (e.g., FastAPI, Flask, Django) to serve models.
• Solid expertise in frameworks like PyTorch, TensorFlow, Hugging Face Transformers, or LangChain.
• Hands-on experience with containerization (Docker, Kubernetes), Linux environments, CI/CD tools (GitHub Actions, Jenkins), and deploying models on cloud platforms (AWS, Azure, or GCP).
• Solid understanding of software architecture, data structures, and algorithms to ensure performant code.
• Hands-on experience with distributed data processing frameworks (e.g., Apache Spark, Ray, Dask) and orchestrating complex data workflows (e.g., Apache Airflow, Dagster, Prefect).

What Sets your Role Apart

• Independently define the technical ML/SWE approach for ambiguous feature requests and deliver to production.
• Recognize the model is a small part of the solution; expertly manage aspects like API rate limiting, asynchronous processing, and robust data routing around ML components.
• Possess hands-on experience maintaining production ML models and designing resilient systems against poor data quality..

Preferred Qualifications

• Proven experience fine-tuning and deploying multimodal models for visual data and engineering diagrams in live environments.
• Built robust, production-grade RAG pipelines, expertly utilizing Vector/Graph Databases for high-accuracy entity retrieval.
• Familiar with orchestrating multi-step reasoning using frameworks like LangGraph or AutoGen for real-world problem-solving.
• Strong understanding of advanced OCR, layout parsing, and techniques for consistent structured JSON extraction from complex industrial PDFs. Manufacturing/OT dataset experience preferred.
• Ability to optimize LLMs/VLMs for inference latency (quantization, TensorRT, vLLM), potentially in constrained, on-premises environments.
• Experience with modern data lake/lakehouse architectures (Delta Lake, Iceberg, Databricks) for efficient querying and preprocessing of petabyte-scale unstructured data for LLM/VLM training and RAG.

 

 

 

Learn more about us

 

 

 

• Impact 2025
• Cognite's Industrial AI: Moonshot
• We’re globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi.

 

 

Equal Opportunity

Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

• Adversarial Engineering: Design and implement Python-based distributed frameworks capable of orchestrating millions of concurrent IO operations to hunt down race conditions and memory leaks.
• AI-Augmented Validation: Be at the forefront of the AI-Native transformation. You will leverage LLMs and Generative AI to automate complex scenario generation, build intelligent agents for root-cause analysis, and multiply your engineering velocity.
• Simulation & Chaos: Build the "Entropy Engine." You will develop tools that inject real-world failures - latency, packet loss, and hardware crashes - to prove the resilience of our Raft and RDMA implementations.
• Deep-System Observability: Move beyond "Pass/Fail." You will build telemetry pipelines to track P99 latency and jitter, providing critical architectural feedback to the Core Kernel teams.
• Collaborative Architecture: You will operate with the same rigorous standards as the Core R&D team: design docs, production-grade code reviews, and high-level architectural planning.

• Extensive Coding experience: You are a Python expert who understands "under the hood" internals. You are comfortable reading and debugging C++, Rust, or Go to understand how the core system works.
• Systems Engineering Mindset: You have a background in distributed systems, networking (TCP/IP, RDMA), or storage protocols. You understand the complexities of consistency and metadata at scale.
• AI Enthusiast: You are an early adopter of AI tools (Copilot, LLMs) and are excited about using them to automate the most tedious parts of the engineering lifecycle.
• The "SRE" Lens: You approach quality through the lens of Site Reliability Engineering. You care about observability, MTTD (Mean Time to Detection), and building self-healing testing loops.
• Problem Hunter: You have a "hacker" instinct. You don’t just find a bug; you find the architectural flaw that allowed it to exist.

About the role: 

Turing is looking for people with LLM experience to join us in solving business problems for our Fortune 500 customers. You will be a key member of the Turing GenAI delivery organization and part of a GenAI project. You will be required to work with a team of other Turing engineers across different skill sets. In the past, the Turing GenAI delivery organization has implemented industry leading multi-agent LLM systems, RAG systems, and Open Source LLM deployments for major enterprises. 

Required skills

• 8 + years of professional, hands-on engineering experience, including 4–6+ years specializing in building and deploying AI/ML models and systems.
• 1+ year of experience in developing Generative AI (LLM) applications using techniques like prompt engineering, RAG, and/or agents.
• Expert in architecting GenAI applications/systems using various frameworks & cloud services
• Good proficiency in using various cloud services from Azure, GCP, or AWS for building the GenAI applications
• Expert proficiency in programming skills in Python, Langchain/Langgraph and SQL is a must.
• Experience in driving the engineering team toward a technical roadmap.
• Excellent communication skills to effectively collaborate with business SMEs

Roles & Responsibilities

• Build the technical roadmap given a business requirement and own the delivery of the same.
• Lead the engineering team toward a technical roadmap and ensure timely execution of the roadmap to achieve customer satisfaction. 
• Develop and optimize LLM-based solutions: Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
• Codebase ownership: Maintain high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
• Cloud integration: Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
• Cross-functional collaboration: Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
• Mentoring and guidance: Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
• Continuous innovation: Stay abreast of the latest advancements in LLM research and generative AI, proposing and experimenting with emerging techniques to drive ongoing improvements in model performance.

Education

• Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, or a related technical field.

We seek a highly skilled and experienced Senior Machine Learning Engineer with extensive expertise in multimodal generative AI models, cross-modal architectures, and multimodal fusion techniques. The ideal candidate will not only have a strong technical background spanning text, vision, audio, and video modalities, but also the drive to mentor, educate, and advocate for the adoption of new and emerging technologies.

WHAT YOU'LL NEED

• 5+ years experience in machine learning engineering, with at least 1 year focussed on generative AI or multimodal systems
• Strong hands-on experience with multimodal AI models including text-to-image, image-to-text, or other cross-modal applications
• Deep practical knowledge of either computer vision or NLP, with demonstrated ability to work across modalities
• Proficiency with generative model architectures such as diffusion models, transformer-based generative models, or GANs
• Strong programming skills in Python with extensive experience in PyTorch and HuggingFace ecosystem (Transformers, Diffusers, Accelerate)
• Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, Azure ML)
• Proven track record of deploying ML models to production with understanding of model optimization, serving, and monitoring
• Strong problem-solving skills and the ability to think critically and creatively about novel multimodal applications

NICE TO HAVE

• A track record of published research in reputable journals or conferences (NeurIPS, ICML, CVPR, ICCV, etc.)
• Understanding of prompt engineering and guidance techniques for generative models
• Experience with model fine-tuning, LoRA, and efficient adaptation methods

ABOUT US

Born in 2001, Code and Theory is a digital-first creative agency that sits at the center of creativity and technology. We pride ourselves on not only solving consumer and business problems, but also helping to establish new capabilities for our clients. With a global client roster of Fortune 100s and start-ups alike, we crave the hardest problems to solve. We have teams distributed across North America, South America, Europe, and Asia. The Code and Theory global network of agencies is growing and includes Kettle, Instrument, Left Field Labs, Create Group, Current, and TrueLogic.

Striving never to be pigeonholed, we work across every major category: from tech to CPG, financial services to travel & hospitality, government and education to media and publishing. We value the collaboration with our client partners, including but not limited to Adidas, Amazon, Con Edison, Diageo, EY, J.P. Morgan Chase, Lenovo, Marriott, Mars, Microsoft, Thomson Reuters, and TikTok.

The Code and Theory network is comprised of nearly 2,000 people with 50% engineers and 50% creative talent. We’re always on the lookout for smart, driven, and forward-thinking people to join our team.

About the Role

We are seeking a senior engineering leader to own and evolve the foundational Platform & Infrastructure powering our global product ecosystem. This leader will drive cloud architecture, distributed systems, and large-scale data platforms that enable scalability, reliability, and AI-first innovation.

• This role combines deep technical platform ownership with broader regional engineering leadership. In addition to stewarding our infrastructure, you will accelerate product velocity, enable Generative AI capabilities at the platform layer, and ensure global scalability of our technology systems.
• Platform is a core leverage point for accelerating product velocity, enabling AI innovation, powering data monetization, and driving global scalability.This is a high-impact leadership role with regional influence, clear ownership of Platform & Infrastructure engineering, and strong executive visibility.

You will serve as the senior-most engineering leader in India, partnering closely with the Senior Leadership Team (SLT) to drive long-term technology strategy, leadership development, and execution excellence across the region.

What You’ll Own

• End-to-end ownership of Platform & Infrastructure engineering (AWS, architecture, reliability, scalability)
• Leadership of large-scale data platform operating at PB-scale and processing trillions of data points daily
• Generative AI enablement at the platform layer to power AI-driven product innovation
• Engineering excellence across distributed systems, SRE, DevOps, observability, and developer productivity
• Regional engineering leadership across India
• Executive alignment with SLT on long-term technology strategy

What You’ll Do

• Lead global teams across platform engineering, infrastructure, cloud operations, integrations, and SRE
• Leverage generative AI and AI coding tools to accelerate developer productivity, engineering workflows, and automation of repetitive tasks
• Define and execute long-term AWS cloud strategy focused on availability, security, performance, and cost optimization
• Scale distributed systems architecture to support global growth and AI workloads
• Improve developer velocity through internal platforms, tooling, and automation
• Build and mentor senior engineering leaders; strengthen high-performance culture in India
• Drive change leadership during periods of growth and transformation
• Partner cross-functionally with Product, Security, and Engineering to align technical priorities with business goals

What We’re Looking For

• 15+ years of engineering experience, including 7+ years in senior leadership roles
• Proven leadership of large-scale Platform & Infrastructure organizations
• Understanding of AI-native software development practices, including automated code generation, AI-driven testing, and human-in-the-loop review systems
• Proven ability to adopt and drive modern engineering paradigms, particularly integrating AI into development workflows to improve productivity, quality, and delivery speed
• Deep expertise in AWS, distributed systems, cloud-native architecture, and SRE
• Experience operating PB-scale data platforms
• Track record of scaling engineering teams in high-growth SaaS environments
• Strong executive presence with experience partnering at SLT or board level
• Demonstrated ability to develop senior engineering leaders and build high-performance culture
• Strong business acumen and long-range strategic thinking

More about the role:

Burson is looking to hire an Account Manager for Enterprise Technology team. As an Account Manager, you are expected to support day-to-day client activities and provide guidance to junior team members through ongoing counsel and effective delegation. You will contribute to Burson’s performance by managing client relationships and integrated communication (IC) programs, satisfying, and delighting clients, helping, generate new business and growing existing accounts.  You are required to support our corporate strategy and your practice or office to help ensure superior client service, a winning culture and profitability.

What you'll do:

Client Service:

• Stay current on your clients’ businesses, industries and competitors and use your knowledge to develop comprehensive, strategic, and integrated communications programs that complement the client’s business objectives and deliver results.
• Act as a day-to-day client leader and maintain a clear and consistent communication channel between the client and the account team.
• Be actively involved and oversee quality implementation for one or a group of accounts within time and budget constraints.
• Manage client relationships and be the client’s key contact, counselor, and strategic thinker.
• Timely Decision Making – The ability to identify a problem and find solutions. Makes decisions in a timely manner, using available information and under tight deadlines.
• Have strong verbal and written communication skills including development of various types of materials such as Q&A, key messages, holding statements, press release etc.
• Be able to support the senior managers and leaders in resolving client issues.
• Maintain a strong rapport with journalists/bloggers/media members who cover your clients’ industries and businesses to optimize channels.
• Help develop media strategies, write pitch letters, and respond to media queries.
• You must possess a strong familiarity with how Generative AI tools are used across communications programmes, especially in planning, research, ideation, content creation, and daily operations. 

Business Development:

• Support the Directors and other senior leaders to identify new business opportunities within existing and potential clients.
• Be proactive during new business brainstorms and take ownership of portions of new business proposals under the guidance of Directors and senior leaders. 

Talent Management:

• Coach and mentor junior team members and help them grow within the organization and are able to add value to the client and the team.
• Create an inclusive and welcoming environment that engages all individuals without bias and demonstrate flexibility in a changing work environment.
• Provide on the job training to new team members on day-to-day tasks, delegate tasks to junior team members with clarity and oversee quality implementation within specified timelines.
• Provide continuous constructive feedback, keep immediate superiors briefed on team member performance ensuring recognition of good performance and resolution of concerns in a timely manner. 

Financial Management: 

• Record time in Maconomy and make supervisors aware of your time spent so our business can be managed profitably.
• Ensure all activities carried out for clients are properly documented and budget and status reports are submitted.
• Follow agency procedures for client budgets, budget tracking, contract approval and billing rates and allocate resources for agency profitability.
• Manage vendor relationships, costs, and invoicing. 

Agency Responsibilities:

• Use Burson’s intranet and resources; keep your profile updated.
• Be a brand ambassador and help in recruiting top talent by knowing our capabilities network.
• Adhere to Burson’s confidentiality and disclosure agreements and code of ethics/conduct.

Experience that contributes to success:

• Minimum 4+ years of experience in public relations or communications industry, with at least one year leading a team.
• Bachelor’s degree in Public Relations, Communications, or a related field.
• Prior experience of managing a diverse portfolio of startup clients across sectors is preferred

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

66degrees Software Engineers within the Innovation team are catalysts for future growth. You will leverage your strong development foundation to explore emerging technologies, identify new opportunities, and rapidly prototype high-impact "accelerators" and minimum viable products (MVPs) for our clients. Partnering with cross-functional experts in AI, data, and cloud engineering, you will move beyond mission-critical application delivery to actively shape the next generation of intelligent enterprise solutions. This role is for a highly motivated and exploratory individual passionate about turning complex challenges into clear, quantifiable outcomes and driving new value for the business.

Responsibilities

• Design, develop, and maintain end-to-end full stack applications, combining scalable backend systems with intuitive frontend interfaces.
• Build and manage data-heavy backend systems, with a strong focus on data engineering, data warehousing, and data modeling.
• Develop and maintain ETL/ELT pipelines using Python to ingest and process data from structured and unstructured sources into cloud data platforms.
• Create responsive and high-performance user interfaces using React.js, enabling rich data visualizations and seamless user interactions.
• Work with Big Data technologies and cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient data processing at scale.
• Leverage cloud platforms (GCP) and services like Cloud Run, Cloud Functions, or equivalent to build and deploy scalable microservices.
• Collaborate with cross-functional teams (AI, Data, Cloud, Product) to translate business requirements into scalable technical solutions.
• Implement CI/CD pipelines, automated testing (TDD), and best engineering practices to ensure high-quality and reliable software delivery.
• Experiment with and implement AI/ML and Generative AI use cases, contributing to rapid prototyping of MVPs and accelerators.
• Continuously explore emerging technologies and contribute to innovation-driven product development within the organization. 

Qualifications

• 3–8 years of experience in full stack development with strong expertise in Python (backend) and React.js (frontend).
• Hands-on experience in Data Engineering, Data Warehousing, and processing large-scale datasets (e.g., BigQuery, Snowflake).
• Strong understanding of ETL/ELT pipelines, data modeling, and data architecture principles.
• Experience working with cloud platforms (GCP preferred, AWS/Azure acceptable) and deploying scalable applications.
• Familiarity with Big Data ecosystems and distributed data processing frameworks is a plus.
• Working knowledge of REST APIs, microservices architecture, and backend system design.
• Proficiency with Git, CI/CD pipelines, and Agile/Scrum methodologies.
• Exposure to or strong interest in AI/ML and Generative AI technologies (LLMs, prompt engineering, etc.) is highly desirable.
• Strong problem-solving skills and analytical thinking, with the ability to work on ambiguous and evolving requirements.
• Excellent communication and collaboration skills, with the ability to bridge technical and business perspectives.
• Demonstrated learning mindset, adaptability, and curiosity, with exposure to diverse technologies or domains being a plus.

We value candidates who demonstrate a balance of technical depth (data/backend) and breadth (frontend, AI, product thinking), along with a strong attitude and willingness to learn.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

Job Description

We are looking for a Senior Data Scientist with a strong foundation in SQL/Python programming, data handling, and data wrangling to work on high-impact projects in the healthcare domain. This is a hands-on role involving advanced analytics, developing metrics and reports from large, complex datasets, and building scalable data solutions like solution workbenches.

The ideal candidate will demonstrate a strong aptitude for understanding business context, generating insights from data, and a proactive attitude toward learning and applying relevant data tools and techniques. A solid grasp of claims analytics, combined with the ability to work in the healthcare space and apply a wide range of quantitative and analytical methods to drive better business decisions, is essential. Experience or interest in Generative AI tools to enhance analytics workflows will be a key advantage.

Responsibilities

• Lead and contribute to custom projects focused on claims-based reporting, Patient Journeys, Market Assessment and predictive modeling using SQL/Python.
• Perform advanced data wrangling, transformation, and analysis on complex healthcare datasets, primarily in the claims domain.
• Create data-driven deliverables and visualizations to support customer engagements and business decision-making.
• Partner with Product and Customer Success teams to deliver insightful, tailored analyses to clients.
• Collaborate with global and cross-functional teams to design and implement optimized data solutions.
• Develop scalable tools such as solution workbenches and automated reporting systems.
• Scope, prioritize, and independently handle client requests with minimal supervision.
• Leverage SQL, Python, and Generative AI tools to drive efficiency, innovation, and automation in analytics workflows.
• Contribute to internal initiatives, knowledge sharing, and continuous improvement of team processes.
• Mentor and guide junior analysts, promoting best practices in coding, modeling, and data handling.

Qualifications

Bachelors or Masters degree in computer science, Statistics, Data Science, or a related
quantitative field.
• 3–5 years of hands-on experience in data science or analytics roles, with a strong focus on SQL
and Python.
• Proven expertise in healthcare data, particularly claims analytics; familiarity with pharma datasets
is mandatory.
• Strong programming skills in Python, including data manipulation, wrangling, and analysis using
libraries such as pandas, NumPy, and scikit-learn.
• Advanced proficiency in SQL for working with large, complex relational datasets.
• Comfortable working with large-scale data and able to assess existing processes to identify
opportunities for improvement.
• Sound knowledge of statistics, data modeling, and predictive analytics.
• Proficient in Microsoft Excel and experience creating clear, impactful presentations of analytical
findings.
• Strong interpersonal, communication, and presentation skills, with the ability to explain technical
concepts to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively in a fast-paced, dynamic
environment.

ISMS Responsibilities

• Comply with information security policies and processes
• Report security weaknesses, events or potential events, or other security risks, to the organization
• Execute all tasks related to information security management system as appropriate

Why we love Analytical Wizards, and why you will too!

• Industry leading products
• Work hard, and have fun doing it
• Incredibly fast growth means limitless opportunity
• Flexible and dynamic culture
• Work alongside some of the most talented and dedicated teammates
• A collaborative and friendly culture with very high employee engagement

We are hiring across multiple locations

India: Hyderabad, Delhi NCR, Bengaluru
Europe: London, Serbia, Sofia, Lithuania, Berlin

ABOUT THE ROLE

Be at the forefront of the AI revolution, working on cutting-edge projects that shape the future of financial services. You’ll join a passionate team focused on building high-quality, scalable products with real-world impact.

We’re looking for a Staff-level Backend Engineer (AI) to bridge robust backend systems with Generative AI. You’ll design the frameworks, standards, and platforms that allow AI capabilities to scale securely, reliably, and efficiently across the enterprise, going beyond feature delivery to influence long-term technical direction.

As a Staff Engineer you’ll:

• Build core services for Tide’s agentic platform, including APIs, workflow orchestration, and tool integration 
• Integrate bought components where they accelerate delivery, and build where control, trust, and reuse matter most
• Work with product, data, platform, and security teams to productionise shared AI capabilities
• Design services that are reliable, secure, observable, and easy for other teams to adopt
• Help shape reusable engineering patterns for AI-enabled workflows

WHAT WE ARE LOOKING FOR:

• Strong backend or platform engineering experience in production environments.
• Good judgement across APIs, distributed systems, cloud infrastructure, and service design.
• Experience integrating internal and third-party platforms.
• Comfort working in ambiguity and turning emerging needs into robust platform components.
• Strong focus on quality, reliability, and developer usability.
• Experience with AI infrastructure or orchestration is helpful, but not essential.
• Experience in highly regulated industries (Fintech, Healthtech, etc.) where safety and compliance are core to the product is valuable, but not essential.
• Design and build automated evaluation pipelines to measure agent reasoning accuracy and safety trajectories

Our Tech Stack:

• Java, Spring Boot and JOOQ to build the RESTful APIs of our microservices (but we welcome people who are used to any strongly typed general purpose programming language!)
• Event-driven architecture with messages over SNS+SQS and Kafka to make them reliable
• Primary datastores are MySQL and PostgreSQL via RDS or Aurora (we are heavy AWS users)
• Docker, Terraform, EKS used by the Cloud team to run the platform
• DataDog and Rollbar to keep it running
• GitHub with Sonarcloud, Semgrep and solid testing to power the CI/CD pipelines - new joiners are encouraged to have something deployed to production in their first 2 weeks
• Angular 2+ with ngrx on Web, Flutter for the Mobile App
• Fivetran/Snowflake/Looker for the BI insights and Python/Faust/Flask/Tecton + some ML libs for the automated decisioning and risk management

The Role

As a Staff Product Designer at AiDASH, you will define the standard for AI-augmented design practice across the organization. You are not just a designer who occasionally uses AI—you are someone who has fundamentally rewired your design workflow around AI tools, using them daily for research synthesis, rapid prototyping, visual exploration, and production-ready output. 

You bring extensive experience in user experience design with deep specialization in at least three areas: user research, service design, digital product design, interface design, visual design, or related disciplines. Crucially, you also bring a proven track record of leveraging AI tools to dramatically accelerate and elevate your design work. 

How you'll make an impact:

• Drive Technology Transformation: Play a key role in delivering and designing technology solutions that reshape how our clients operate. Use AI tools (e.g., Galileo AI, Uizard, Relume, v0, or similar) to go from concept to interactive prototype in hours, not days—dramatically accelerating ideation-to-delivery timelines. 

• Collaborate Across Teams: Work closely with cross-functional teams to produce design deliverables—journey maps, service blueprints, roadmaps, prototypes, and design systems.  

• Apply Research with Precision: Use diverse research methods—context analysis, moderated interviews, experiments, and user testing. Augment these with AI to transcribe interviews, cluster findings, extract patterns from qualitative data, and accelerate insight generation and communication. 

• Create Production-Ready Designs with AI: Use generative AI for mood boards, visual explorations, icon generation, illustration, and design variations at scale. Craft effective prompts to get high-quality outputs from AI design and image-generation tools, then iterate and refine AI-generated assets to production quality. 

• Build and Scale AI-Augmented Design Systems: Use AI to help maintain, scale, and enforce consistency across design system components and documentation. Identify and implement AI-powered automations to eliminate repetitive tasks (e.g., auto-generating responsive variants, batch-resizing assets, content population). 

• Champion AI Adoption in Design: Evangelize and mentor the broader design and product team on integrating AI tools into their workflows. Establish best practices, standards, and playbooks for AI-assisted design across the organization. 

• Manage Scope, Risks, and Progress: Proactively monitor project scope, risks, and updates, ensuring clear communication and alignment across stakeholders throughout the project lifecycle. 

Minimum Qualifications:

• Bachelor’s degree in Design, HCI, a related field, or equivalent practical experience 

• 6+ years of experience in UX/product design with a strong portfolio showcasing design principles applied to web and/or mobile platforms 

• Demonstrated, hands-on proficiency with AI design tools—must be able to show examples of AI-assisted work in your portfolio (e.g., AI-generated prototypes, AI-enhanced visuals, AI-driven research synthesis) 

• Proficiency with core design tools: Figma (required), plus experience with at least two AI-powered design or prototyping tools 

• Strong understanding of when to use AI and when human craft is essential—you know AI’s strengths and limitations in a design context 

Preferred Qualifications:

• Experience with AI prototyping tools such as Galileo AI, Uizard, Relume, v0 by Vercel, Framer AI, or Figma AI features 

• Familiarity with generative image tools (Midjourney, DALL-E, Stable Diffusion, Adobe Firefly) for design exploration and asset creation 

• A highly creative mindset with the ability to translate ideas into polished, functional, and visually compelling prototypes—with or without AI assistance 

• Proven success collaborating across organizational boundaries and working effectively with cross-functional teams in fast-paced startup environments 

• Strong verbal and written communication skills, including the ability to craft and deliver engaging presentations 

• Passion for climate tech, sustainability, or infrastructure modernization 

PORTFOLIO REQUIREMENTS 

Your portfolio should include at least two case studies that explicitly demonstrate your use of AI tools in the design process. We want to see: 

• Before/after examples showing how AI accelerated or improved your workflow 

• Your process for integrating AI—what tools you used, how you prompted them, and how you refined the outputs 

• Clear articulation of where AI added value vs. where your human judgment and craft were essential 

We’re not looking for perfection in AI output—we’re looking for a designer who knows how to wield AI strategically and isn’t afraid to show the messy, iterative process. 

More about the role:

Burson is looking to hire an Account Manager for StepUp team. As an Account Manager, you are expected to support day-to-day client activities and provide guidance to junior team members through ongoing counsel and effective delegation. You will contribute to Burson’s performance by managing client relationships and integrated communication (IC) programs, satisfying, and delighting clients, helping, generate new business and growing existing accounts.  You are required to support our corporate strategy and your practice or office to help ensure superior client service, a winning culture and profitability.

What you'll do:

• Stay current on your clients’ businesses, industries and competitors and use your knowledge to develop comprehensive, strategic, and integrated communications programs that complement the client’s business objectives and deliver results.
• Act as a day-to-day client leader and maintain a clear and consistent communication channel between the client and the account team.
• Be actively involved and oversee quality implementation for one or a group of accounts within time and budget constraints.
• Manage client relationships and be the client’s key contact, counselor, and strategic thinker.
• Timely Decision Making – The ability to identify a problem and find solutions. Makes decisions in a timely manner, using available information and under tight deadlines.
• Have strong verbal and written communication skills including development of various types of materials such as Q&A, key messages, holding statements, press release etc.
• Be able to support the senior managers and leaders in resolving client issues.
• Maintain a strong rapport with journalists/bloggers/media members who cover your clients’ industries and businesses to optimize channels.
• Help develop media strategies, write pitch letters, and respond to media queries.
• You must possess a strong familiarity with how Generative AI tools are used across communications programmes, especially in planning, research, ideation, content creation, and daily operations. 
• Support the Directors and other senior leaders to identify new business opportunities within existing and potential clients.
• Be proactive during new business brainstorms and take ownership of portions of new business proposals under the guidance of Directors and senior leaders. 

Experience that contributes to success:

• Minimum 4+ years of experience in public relations or communications industry, with at least one year leading a team.
• Bachelor’s degree in Public Relations, Communications, or a related field.
• Prior experience of managing a diverse portfolio of startup clients across sectors is preferred